I-Fusion received an Army SBIR Phase I contract on An Indoor GPS Satellite Constellation Emulation Antenna Array
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I-Fusion received a NSC contract on A Cost-effective MIMO Bolt-on for SISO AWS-3 Devices
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I-Fusion researchers received one the best paper of the session award at 35th DASC
An IFT paper entitled "Wind field Estimation through autonomous quadcopter Avionics" were selected as the best paper of the session at IEEE DASC 2016, Sacramento, CA.
I-Fusion received an Air Force SBIR Phase II contract on Target Based Compression Setting Broker
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I-Fusion received an Air Force STTR Phase II add on work to develop the Single Sideband Technique Application in Space-Ground Link Subsystem Waveform
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I-Fusion received an Air Force STTR Phase I contract on Subspace Tracking and Manifold Learning Based Heterogeneous Data Fusion for Unexpected Event Discovery
We aim to develop data-driven heterogeneous data fusion approaches for unanticipated event/target detection, which will be more robust and immune to model mismatch problems encountered by model-based approaches. Considering the low intrinsic dimensionality of the sensor data, we propose several data-level fusion approaches based on some state-of-the-art dimensionality reduction techniques. For linear sensor measurements, we propose two efficient joint linear subspace tracking approaches. The first joint subspace tracking approach is based on the concept of joint sparsity, compressive sensing techniques, and grid computation, which is suitable when the correlations between data from different sensing modalities are unclear. The second approach is based on the emerging compressive covariance sensing technique, which provides a faster and more accurate solution when explicit models are available for correlations between heterogeneous data streams. For nonlinear data, we propose a joint nonlinear manifold learning based data fusion framework, in which the nonlinear mapping from the target parameters to the measurements is learned and the classifier is trained with heterogeneous data. Computationally efficient online joint nonlinear manifold learning approaches will also be developed for unexpected event/target discovery. The proposed research will be conducted under the guidance of rigorous mathematical/statistical principles.
I-Fusion received an Air Force SBIR/STTR Science and Technology Maturation Program contract on Low-Cost Resilient Satellite System Controller Using Game-Theoretic and Cognitive Radio Technologies
The warfighter has a specific need to enhance anti-jam (AJ) performance of satellite communications in the presence of RF interference environments. This STMP effort will provide the warfighter with the capability to employ RF interference mitigation and AJ detection and response techniques against friendly and unfriendly interferers. The objective for this SBIR Phase II follow-on contract is to mature the technology/manufacturing readiness levels from TRL-3/MRL-3 to TRL-6/MRL-6. The result will be a game theoretic engine and cognitive radio (CR) technology deployed onto a field programmable gate array which will be embedded into a low-cost resilient satellite system controller. This effort will be integrated and tested in L-3 Communications – Communications System West test-bed environment for functionality and performance evaluation.
I-Fusion received an Air Force Phase III contract on Enhanced Multiple INT Fusion Services under Contested Environment
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I-Fusion received an Air Force SBIR/STTR Science and Technology Maturation Program contract on Multiple INT Fusion Services under Contested Environment
The Air Force has a need to maintain a strong intelligence capability in semi-permissive and anti-access area denial (A2/AD) scenarios where full-motion video (FMV)-based surveillance assets are rare or unavailable. In such environments, priority is given to leveraging any and all other sources of intelligence available, which may include stand-off radar tracks, human-authored documents and “open sources” of data available on the public Web, including social media, such as Facebook and Twitter. This project will support the requirement of enhanced intelligence capability in A2/AD environments through research, development, and transition of an improved Multiple Intelligence Fusion Services (MIFS) framework. This project will improve intelligence, surveillance, and reconnaissance (ISR) capability using overhead imagery and other data sources, such as GMTI data, via web services under a contested environment. IFT will develop the software/hardware integrated high performance computing enabling framework, using cloud computing and GPUs with robust, survivable, and secure network services to provide efficient and powerful data analysis and decision making based on the Multi-INT fusion from different data sources.
I-Fusion received an Air Force SBIR Phase II enhancement to develop SATCOM Cognitive Radio Testbed.
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I-Fusion researchers received two the best paper of the session award at 34th DASC
Two IFT papers were selected as the best paper of the session at 34th DASC: 1) SPREAD SPECTRUM DESIGN FOR AERONAUTICAL COMMUNICATION SYSTEM WITH RADIO FREQUENCY INTERFERENCE; 2) A REAL-TIME ORBIT SATELLITES UNCERTAINTY PROPAGATION AND VISUALIZATION SYSTEM USING GRAPHICS COMPUTING UNIT AND MULTI-THREADING PROCESSING.
I-Fusion received a Navy SBIR Phase I contract on A Camera, Laser Ranger and RF MIMO SAR Mixed Imaging-Ranging Sensor for Precise, Automated Position-Keeping
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I-Fusion received a Navy SBIR Phase I contract on A Low SWaP-C Chirped LFMCW Radar Based UAS Collision Avoidance System
The proposal presents a low space, weight and power (SWaP) and low cost chirped linear frequency-modulated continuous-wave (LFMCW) radar based UAS collision avoidance system. A novel radar structure is applied to make the system having enough working range and at the same time having high enough range and angle estimation accuracy. The smart antenna technique is applied, so one transmit can be used to search all interested angles with a gated range. The software defined radio (SDR) concept is applied to make the system having the plug and play capability. The system integrates a mixture of state-of-the-art modeling and algorithms, such as range gated chirp radar receiver, and a lot of mature techniques, such as smart antenna angle estimation, Fast Fourier transform (FFT) for target detection, Commercial off-the-shelf (COTS) parts, etc. This combination of the state-of-the-art techniques and mature techniques/devices greatly reduces the system implementation risk.
I-Fusion received an Air Force SBIR Phase I contract on An Intelligent Image Compression Broker Based on Objective with Feedback
The proposal presents an Intelligent Image Compression Broker Based on Objective with Feedback. A novel structure is applied to receive the input image/video, its metadata (environment and camera parameters), and the feedback from the compressed image quality evaluation to optimize the tradeoff between the compressed image quality and its size (in terms of bits the compressed image occupied). We also propose to apply machine leaning techniques to train the compression method and parameter selection broker, which also accepts real data as a part of the reference as the image quality and the application requirement match each other. Due to the application of the novel system structure, the image compression broker has the capability to continuously adjust the compression algorithm and parameters, and thus the image compression performance is optimized.
I-Fusion received an Air Force STTR Phase II contract on Harness Enhanced Awareness for Radio Systems (HEARS) for Dynamic Spectrum Access in Space Application
In the first Phase, IFT and its partner GMU developed an innovative Harness Enhanced Awareness for Radio Systems (HEARS) framework and technical underpinnings for DSA systems operating under conditions of imperfect knowledge, and use the framework to address challenging problems in satellite communication (SATCOM). As the logical core of the HEARS, Multi-Entity Bayesian Network (MEBN) models for SATCOM were developed and implemented using Netica Bayesian Network (BN) APIs. The developments bring the power of information fusion, probabilistic inference and reasoning for decision making under uncertainties to SATCOM systems, which allows more reliable in-situ decisions under a broader range of scenarios and avoids performance loss. An “SATCOM BN Analysis Tool” was developed which integrates SATCOM simulation, BN based decision makings and 3D visualization. The Phase I effort has provided convincing results of proof-of-concept designs that enable further technology transition. In Phase II, our main objectives include: i) extend the core SATCOM MEBN to accommodate more DSA scenarios and applications, ii) fully implement the HEARS framework with hardware-in-loop emulation in realistic Virtual RF Environment for extensive performance evaluation, design optimization and demonstration, and iii) further advance the technologies towards practical applications such as controlling an L-3 SATCOM Modem for space communication.
I-Fusion received an Air Force SBIR Phase II contract on HEADGTSM: HPC EnAbled Distributed Game-Theoretic Sensor Management for Space Situational Awareness
The space domain today is becoming increasingly congested. The detection, classification, and tracking of Resident Space Objects (RSO) is critical for space situational awareness. How to best utilize available sensing resources becomes extremely important. The Phase I effort has resulted in a high Performance Computing enabled Distributed Game theoretic Sensor Management software Suite (HEADGT) for RSO detection, classification, and tracking. We obtained promising results which clearly demonstrate that IFT’s HEADGT software suite provides innovative and effective game theoretic approach for sensor resource management with consideration of various operational constraints. The developed HEADGT integrates space object classification and tracking, heterogeneous sensor measurements fusion, maneuver detection, collision alert, sensor modeling, game theoretic modeling and solution, hardware implementation, and visualization system. In the phase II project, we will refine, extend, and optimize our Phase I system concept and models to meet the realistic requirements of the Air Force for RSO detection, classification and tracking. In addition, IFT team will 1), extend and tie all the models developed in Phase I using high performance computing enabled implementations, 2), enhance the hardware prototype, 3), enrich interfaces with other SSA testbeds such as Space Fence System.
I-Fusion received an Air Force STTR Phase II contract on Evaluation of SANDGT Using SOA Framework for Persistent and Risk-Averse Space Situation Awareness
Space superiority needs protected tactical space communications with dynamic spectrum sharing, routing adaptation and interference mitigations against kinetic and non kinetic threats. The main focus of this project is to develop game-theoretic analytics and frameworks to support the Air Force’s autonomy science & technology strategy (e.g., "deterrence" posture which in turn may be enabled by the attribute of resiliency) against counter space aggression. The Phase I effort has resulted in a SANDGT for persistent and risk-averse space situation awareness. We obtained the promising results to validate our developed approaches. These preliminary yet promising results clearly demonstrate that IFT’s SANDGT provides innovative and effective game theoretical approach for persistent space denial. In the phase II project, we will revise, extend, and optimize the Phase I research results for realistic SSA scenarios considering the security issues in embedded satellite networks with Service-Oriented-Architecture (SOA) framework and the operational constraints of space-based visible/radar sensors, LEO/near GEO space platforms, maneuver capabilities, characteristics of orbital planes and space assets per plane on asset observability and reachability. Moreover, IFT team will extend and tie all the models developed in Phase 1 using SOA framework and “Observe, Orient, Decide and Act” (OODA) decision making paradigm.
I-Fusion received an Air Force STTR Phase II contract on Evaluation of High Performance Computing Enabled Multiple-Target Tracking Based on Massive Parallelism for Urban Surveillance Areas
Threat detection of people, vehicles, and others as well as person-vehicle interactions (dismounts) of possible malicious intent are difficult problems due to the complexity of the problem space. The wide area motion imagery (WAMI) systems aid analysts to track and identify dismounts, but typically produce an overwhelmingly large amount of information. The large scale data input challenges existing situational awareness algorithms in time complexity and storage requirements. The lack of computationally efficient moving target indicator (MTI) analysis tools has become a bottleneck for utilizing WAMI data in urban surveillance. The Phase I effort has resulted in high-performance computing solutions to handle the large scale data requirements. We obtained promising results to validate our developed approaches. These preliminary yet promising results obtained in the Phase I study clearly demonstrate that IFT’s HPC-MTT, which use the graphics processing unit, multi-core processor, and Hadoop technology, provides innovative and effective on-board and off-board solutions,. Based on the Phase I design and evaluation of our HPC-MTT tool, we believe that it is time to revise, extend, and optimize the Phase I research results using a massively parallel framework with Service-Oriented-Architecture. The proposed high-performance-computing (HPC) enabled multiple-target-tracking (MTT) architecture has tremendous potential for many military applications. The proposed tool can be used to reduce latency to improve E2AT. In C4ISR, the proposed technology can also improve efficiency in the systems that help warfighters process information, such as in the counter-insurgency and counter-IED areas. In addition, there are some relevant Defense Acquisition Programs within DoD, such as Distributed Common Ground Station-Navy (DCGS-N), DCGS-X (Air Force), DCGS Army (DCGS-A) system, and AFRL E2AT and PCPADX.
I-Fusion received an ONR SBIR Phase I contract on A Low SWaP Spectrum Monitoring System with Virtual Omni Directional Antenna
More coming soon
I-Fusion received an AF STTR Phase I contract on GUARD: A Game Theoretic Universal Anti-RFI Defense Framework for Satellite Communication
More coming soon.
I-Fusion received an AF STTR Phase I contract on AFSCN Upgrade Based on Smart Antenna and Cognitive Satellite Radio
More coming soon.
I-Fusion received an AFRL subcontract on RFI detection and prediction from Catholic University of America
More coming soon.
I-Fusion received a DARPA Phase II option on VHF/UHF Emitter Localization Based on DOA Fusion with Two UAS
More coming soon.
I-Fusion received a Air Force SBIR Phase I contract on Game-Theoretic Distributed Sensor Management for RSO Detection, Classification and Tracking
In this proposal, Intelligent Fusion Technology, Inc (IFT) proposes a novel Game-Theoretic Distributed Sensor Management tool to meet the special requirements of the Air Force for RSO detection, Classification and Tracking. The proposed tool contains i) distributed active learning and distributed agent negotiation game to solve the distributed sensor management problem, ii) distributed tracking and fusion system which considers maneuver detection, collision alert, joint space object identification and state estimation as well as data fusion of multiple sensors, iii) FPGA-aided on-board data processing, and iv) hardware in the loop open source standard testbed and visualization system. The proposed work enables i) dealing with goal uncertainty and ambiguity as well as complex sensor management problems, ii) maneuver detection and inference of the intent as well as prediction the future behaviors of space objects, iii) distinguishment of unattended and intentional collision in the early stage and guiding the sensor management with improved resource utilization, and iv) distributed determination of orbit, tracking of multiple space object and information fusion of heterogeneous sensors with consideration of unreliable ISL communications. The proposed work is built on our experience game-theoretic sensor management, space situational awareness, and satellite communication as well as our recent ISR testbed work.
I-Fusion has been selected for an Air Force STTR Phase I award on Decision-Making under Uncertainty for Dynamic Spectrum Access Systems in Space Application
This Small Business Technology Transfer Phase I project develops collaborative spectrum awareness techniques that enable dynamic spectrum access (DSA) systems to make decisions with imperfect awareness. DSA technologies are emerging as a promising mitigator against spectrum congestion resulting from the explosive growth in commercial and Government wireless systems and services. DSA systems have demonstrated the potential for allowing increased spectrum access to greater numbers of users, assuming perfect system knowledge. Challenges still remain for widespread fielding of DSA systems, including the necessary ability to make decisions under uncertainty. The proposed effort seeks to develop, demonstrate, and implement the technical underpinnings and algorithms for DSA system operation in satellite communication environment under conditions of imperfect knowledge. It specifically proposes an integration of Bayesian game and decision-theoretic approaches to combine data from multiple collaborative sensing and static sources to increase awareness and spectrum utilization efficiency. Representation of uncertainty in the knowledge base is accomplished through probabilistic ontology and Bayesian reasoning technologies. The resulting capabilities allow DSA systems to evaluate and make trades among capacity gain, interference mitigation, and monetary cost in uncertain operating environments.
I-Fusion has been selected for an Air Force STTR Phase I award on HPC-MTT: High Performance Computing Enabled Multiple Target Tracking for Urban Surveillance Areas
Advances in large scale visual sensors enable (near) real time acquisition of imagery data over wide urban surveillance areas. Data collected by such sensors, such as the wide area motion imagery (WAMI) systems, however poses computational challenges to existing visual analysis algorithms. Among many tasks, tracking multiple moving target indicators (MTI) is of fundamental importance since it bridges the low-level imagery input (e.g., WAMI data) and the high-level situation awareness (e.g., trajectory prediction and understanding). In this project, we plan to design and implement a novel high-performance-computing (PHC) enabled multiple-target-tracking (MTT) framework, named HPC-MTT, with focus on large scale MTI tracking in the context of WAMI understanding. The design of HPC-MTT will be from three inter-correlated viewpoints. First, from the MTT point of view, we plan to parallelize all steps in the MTT pipeline, including background subtraction, MTI detection and multiple-target-association (MTA). Second, from the HPC point of view, we plan to design WAMI-specified parallelization algorithms following the partition-communication-agglomeration-mapping (PCAM) paradigm. In particular, we will design spatial PCAM, temporal PCAM and algorithmic PCAM to capture respectively the spatial, temporal and algorithmic characteristics of WAMI tasks. Finally, from the HPC platform point of view, we will deploy the proposed HPC-MTT in various HPC infrastructures including multiple-core computation (e.g., GPGPU for on-board tasks) and cloud computing (e.g., Amazon E2C-based prototype for off-board tasks).
I-Fusion has been selected for an Air Force SBIR Phase I award on Consistency Based Gaussian Mixture Tracking Framework for Space Situation Awareness (CbGM-SSA)
In this project, a unified consistency based Gaussian mixture (CbGM) tracking framework is proposed for the detection, tracking and identification of space objects using measurements from disparate sensor networks. Major components of the proposed tracking framework are as follows. First a Consistency based Gaussian Mixture approach which is more efficient than other existing Adaptive Gaussian Mixture approaches is proposed for the accurate propagation and update of space tracks. Second, a novel Sparse-grid Quadrature Filter (SGQF) which offers improved accuracy over the UKF with moderate increase of complexity will be used in the CbGM framework for the tracking of space objects. Third a novel Rollout Policy based Multi-step Look-ahead Data Association (RO-MSLHDA) approach is proposed for accurate multi-target tracking (MTT) in complex space environment. By taking advantage of the highly deterministic nature of orbital motion and exploring information from future observation frames, the RO-MSLHDA is developed to achieve tracking accuracy that is close to that of the Multiple Hypothesis Tracking (MHT) with much lower complexity. The impact of dynamic model accuracy on data association performance and effective track initialization using existing Initial Orbit Determination (IOD) algorithms with the RO-MSLHDA framework will also be investigated.
I-Fusion has been selected for an Air Force SBIR Phase I award on Network Survivability Oriented Markov Games (NSOMG) in Wideband Satellite Communications
In future military satellite communications infrastructure, it is envisioned that satellite communications systems and hybrid space-terrestrial systems are essential components for improved warfighting capabilities and enhanced defensive control over complex collaborative missions. These wideband space communication networks entail unprecedented complexity and unpredictability of the operating environments as well as extremely high stake of electronic attacks and countermeasures. Therefore, it is essential to develop cognitive spectrum management and agile waveform adaptation solutions that are not only context-aware and capable of learning and probing for subscriber distributions, quality of services, mission priorities and traffic patterns, but also agile in waveform adaptation to provide active countermeasures for persistent and adaptive RF interferences and adversarial jamming. IFT team proposes a network survivability oriented Markov game (NSOMG) framework for dynamic spectrum management and waveform adaptation of the advanced wideband satellite communications. There are four major intertwined components: i) observed or reported system states including status of satellites, earth stations, warfighters, and communication links; ii) on-line learning and subsystem performance evaluation; iii) NSOMG based prediction and scheduling; and iv) joint spectrum allocation and waveform adaptation. Our approach follows a general feedback control system structure: State Observation (SO) - System Identification (SI) - Controller – Actuator.
I-Fusion has been selected for an Air Force Research Lab BAA award on Video to Text (V2T) for Wide Area Motion Imagery
This BAA project is to support AFRL E2AT program.
I-Fusion has been selected for an Air Force STTR Phase I award on SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness
In the Phase I, IFT collaberates with University Partner to propose a decision support tool called the stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-averse space situation awareness. The main idea of our approach is to design and numerically solve stochastic adaptive nonlinear differential games, capturing the interactions between friendly satellite systems and adversarial space objects, which may bring radio jamming and interference to normal space communications, or perform orbit maneuvers for avoiding collision with in-communication-loop satellites. There are four major components: i) practical game-theoretic modeling with hierarchical structure and three-level dynamics: satellites, sensors, and communication links; ii) versatile information structures with learning algorithms from both pursuer and evader perspectives; iii) numerical and near-optimal solutions to the stochastic adaptive nonlinear games with risk-averse strategies; and iv) a Google Earth based multi-view and multi-layer visualization system.
I-Fusion has been selected for an Air Force SBIR Phase II award on Network Sensor-Based Defense Framework for Active Network Security Situation Awareness and Impact Mitigation
Cyber-attacks are increasing in frequency, impact, and complexity, which demonstrate extensive vulnerabilities of networks with the potential for catastrophic damage. Defending against these cyber-attacks requires network security situation awareness (SA) through distributed collaborative monitoring, detection, and mitigation. In the Phase I project, IFT team has developed a Network Sensor-Based Defense Framework for Active Network Security Situation Awareness and Impact Mitigation. The framework features five elements: distributed network sensors (both passive and active), effective anomaly detectors, cyber-attack scene investigation, game theoretic cyber-attack formalization, and Google Earth based multi-view and multi-layer visualization. The preliminary yet promising results obtained in the Phase I study clearly demonstrate that IFT’s network sensor based defense framework provides innovative and effective SA techniques for active network security and proactive impact mitigation against cyber network attacks. In the Phase II research proposed, we will revise, extend, and optimize the Phase I research results with the focus on enhanced detection techniques, privacy-preserving, insider attack detection, game theoretic intent inference and impact mitigation, trust/assurance of network sensors, system resilience/agility, social-cultural factor modeling, traceback for anonymous attacks, and coordination between passive sensors and active sensors for a holistic cyber assessment testbed to enhance strategic and operational capabilities.
I-Fusion has been selected for an Air Force SBIR Phase II award on A Holistic Approach to Optimal and Secure Tactical Wireless Broadband Systems
In the Phase I effort, IFT proposed a Holistic networking Infrastructure for tactical Satellite Communication Networks (HISCoN). It supports optimal network resource management and cross-layer cooperation that allow satellite communication networks to intelligently accommodate the communication needs of various missions/tasks with diverse traffic characteristics and drastically different QoS requirements. Novel enabling technologies have been developed at the physical layer for RF situation awareness, efficient QoS-aware spectrum allocation, and anti-jamming communication, and at the network layer for QoS-aware routing and scheduling. The Phase I effort has provided convincing results of proof-of-concept designs that enable the development of a holistic integrated system for space-borne communication network technology transition. In Phase II, our goal is twofold: to refine and expand the HISCoN algorithms by addressing a broad scope of issues in practical implementations, and to integrate the proposed technologies and tools for extensive performance evaluation and visual demonstration in realistic mission scenarios. There are three major milestones: 1) implementation and testing of the main components (i.e., the proposed communication/networking algorithms, CR hardware testbed, the co-simulation platform and the 3D simulation/visualization engine); 2) integration of all the components into an operational demonstrator; and 3) simulations of realistic scenarios to obtain desired results.
I-Fusion received a SBIR Phase III contract on Autonomous ISR Testbed with Multiple Robots
In the Phase III, IFT seeks to apply technologies developed in SBIR previous phases to a real (or real-life simulated) cyber network within a robotic intelligence, surveillance, and reconnaissance (ISR) testbed. In the robot ISR testbed, each robot is connected to a computer via wireless LAN. Each robot is represented by an agent, which is running on the computer. By following the Service-Oriented Architecture (SOA) standards, an agent can provide services such as vision and interception through web services, which are running on a cyber network. IFT will also leverage the 3-player game theoretic analysis in a physical control system such as robots. The Phase III work will be delivered to AFRL for testing, analysis, and improvements for effective transition and commercialization of the technology to the DOD environment.
I-Fusion received an Air Force STTR Phase I award on Effective Routing Algorithms for IP based Satellite Networks
The main focus of this project is to develop innovative IP routing algorithms onboard over satellites that can link user preferences and network conditions and improve end-to-end network performance, including heterogeneity of satellite nodes, interferences of satellite links, and others. The defense satellite communication system (DSCS) is a satellite system designed to provide high-volume and secure communication infrastructure for supporting real-time military voice and data communication. Nevertheless, the lack of network resource is a major issue for the satellite networks in order to support a large number of war-fighting users. In this project, I-Fusion Tech, Inc (IFT), and its academic partner, the Towson University with Professor Wei Yu as the lead, propose an Effective Routing Algorithms for IP based Satellite Networks. The key components include: (i) Routing Algorithms for Satellite Core Ad-Hoc Network;(ii) Routing Algorithms for Satellite Access Networks; (iii) Guaranteeing Delay and Bandwidth; and (iv) Prototype implementation and validation.
I-Fusion received a DARPA SBIR Phase II award on VHF/UHF Emitter Localization Based on DOA Fusion with Two UAS
In phase 1, we developed an emitter localization technique based on the fusion of Direction of Arrival (DOA) measurements obtained from two flying small UAS and a terrain map. We have designed novel mini UWB antenna to cover VHF/UHF bands. For hardware, we designed a thin, small size (51mm×61mm×9mm), light weight (4.5 Oz) onboard DOA hardware system with very low power consumption equipped with fast signal capture capability (within 200ms). Detail DOA hardware schematic was created and 95% components were identified .The designed DOA receiver has high dynamic range and can cover a very wide frequency range at min power consumption(A typical 1200mWh battery can support over 5 hour flight mission with 11800 DOA estimations ). For the software part, we have developed the smart antenna calibration, hierarchical delay and sum (DAS) DOA estimation, and terrain data aided DOA fusion 3D localization. We also constructed a 3D simulation and visualization tool by integrating the hardware design, signal processing software algorithms, and UAS flight controls. With a real terrain map, we conducted the simulation and obtained the desired results of 100m accuracy. The system can track dual targets within a second in a typical application and may take a few more seconds in a difficult condition. In Phase II, we plan to coordinate with government POCs, academic researchers and industrial partners on research and development. We will refine the antenna, hardware design and software algorithms in our emitter localization solution. The refined phase I prototype will be fabricated and installed on UAVs to demonstrate the overall performance for realistic field fight scenarios.
I-Fusion received an Air Force SBIR Phase I award on Network Sensor-Based Defense Framework for Active Network Security Situation Awareness and Impact Mitigation
Networking technologies have given rise to worldwide social, business, and military networks, and commercial networks in US has been growing explosively. Cyber-attacks are increasing in frequency, impact, and complexity, which demonstrate extensive network vulnerabilities with the potential for serious damage. To defend against cyber-attacks, we propose a Network Sensor-Based Defense Framework for Active Network Security Situation Awareness and Impact Mitigation, with the aim of handling network security awareness, mitigation, and prediction. In particular, we will conduct the following research tasks: (i) develop a generic framework for integrating data from various sources, (ii) Develop information theory, image, and signal processing techniques to efficiently process alerts information and provide accurate detection decision; (iii) Develop novel techniques to carry out attack scene investigation via network forensic analysis and visualization; (iv) Develop the game theory to investigate the interaction between the attacker and defender with different strategies; and (v) implement a prototype system and validate our proposed solutions. Our work will have immediate and significant impacts on the security of U.S. Military and commercial networks. The proposed security SA framework, algorithms and toolkits are well sought by military and commercial cyber defense.
I-Fusion received an Air Force SBIR Phase I award on A Holistic Approach to Optimal and Secure Tactical Wireless Broadband Systems
In this project we propose to develop a holistic approach to managing multi-hop broadband systems with three intertwined components: a cognitive sensing infrastructure for sensing and situation awareness, a cognitive routing infrastructure for scheduling, admission control, cognitive routing and frequency management, and a waveform adaptation infrastructure for power control, waveform shaping, dynamic spectrum access as well as avoidance of interference and jammers. The project will develop a cognitive network infrastructure for situation awareness and waveform adaptation at the physical layer, and permeate its benefits to upper layers including medium access control and packet scheduling, admission control, joint routing and spectrum management, and mission-driven application layers. The cognition network will enable optimized network routing and management relative to user intents and wide-area net-centric sources, leading to mission-driven network optimization that enables covert communication, interference control, robust routing, and efficient random access.
I-Fusion received an AFRL subcontract on SOA based persistent ISR Testbed development from Temple University
I-Fusion received a contract from Temple University. In this AFRL funded project, I-Fusion will team with Prof. Haibing Ling to develop an open-standard framework to provide the user with capabilities for developing an ISR testbed with the following objectives:1)suitable for different ISR scenarios; 2)adopting open source ISR system simulation environment; 3)supporting ISR algorithms (e.g. tracking and sensor management) for benchmarking and demonstration; 4)providing the virtual 3-D graphical simulation system in real time; 5) having interactive virtual feedback system during scenario display; and 6) showcasing the simulation from the space satellite to the ground-based battlefield environment.
I-Fusion received an AFRL subcontract on Stackelberg Game Approach to Cognitive Radio Networking with Anti-Jamming Capability from Michigan Technological University
I-Fusion received a contract from Michigan Technological University. In this AFRL funded project, I-Fusion Technology will team with Prof. Gerry Tian to develop an innovative multi-leader, multi-stage Stackelberg game framework for cognitive power control and waveform adaptation with anti-jamming capability. Space vehicles and air-/space-borne sensors are essential components for improved warfighting capabilities and enhanced defensive control over complex collaborative missions. Through intelligent command and control, air- and space-based network platforms act autonomously and communicate with ground-based networks and other units of the network-centric warfare (NCW) system to make warfighter missions more effective and affordable. To ensure end-to-end network performance as well as to improve mission-based criteria, it has been recognized that cognition capability, agile adaptability, and intelligent decision-making shall be leveraged in wireless network design for space-based networks and the entire NCW as a whole. Particularly for airborne networks in military operations, the unprecedented complexity and unpredictability of the operating environments, aggravated by the extremely high stake of network management effectiveness, makes it crucial to develop cognitive networking and management solutions that are context-aware, capable of predicting and tracking the network conditions, and agile in making intelligent plans and decisions according to both the network dynamics and the non-deterministic priorities of information and tasks.The goal of the project is to develop and testify a multi-leader, multi-stage Stackelberg game approach to cognitive power control and waveform adaptation with anti-jamming capability.
I-Fusion received a DARPA SBIR Phase I award on VHF/UHF Emitter Localization Based on DOA Fusion with Two UAS
DARPA awarded a contract to I-Fusion Technology. In this project, I-Fusion proposes an emitter localization technique based on the fusion of DOA obtained at two flying small UAS. Each UAS is equipped with a nonlinear distributed smart antenna system and a GPS receiver. The GPS receiver provides the UAS position and the pulse per second (PPS) signal. The nonlinear smart antenna system (1) detects the emitter signal using an analog received signal strength indicator (RSSI) and (2) estimates the emitter DOA using a hierarchical delay and sum (DAS) searching method. After an emitter’s signal is detected, its spectrum signature is analyzed and its DOA is estimated, in addition the DOA is marked with the time, at which it is obtained in the GPS time system. The DOA with time mark and the corresponding signal’s spectrum character and the UAS position are transmitted to the ground control station through the control channel. At the control station the DOA coming from the two UAS are aligned based on the time mark and spectrum signature and then fused to localize the emitter. The proposed localization method does not need any communication between the two UAS, which saves a transmitter and a synchronization receiver on each UAS as well as on-board power. The emitter signal detection process consumes less than 150ms, when an emitter signal lasts more than 200ms, to detect and localize a signal.
I-Fusion Technology received a contract on implementation of face detection, eyeglasses detection, and image retrieval algorithms for face recognition from ALCORN STATE UNIVERSITY
I-Fusion Technology received a contract from ALCON State University. In this contractual project, three research tasks (face detection, eyeglasses detection, and image retrieval technique used for face matching) will be investigated and implemented for the thermal face recognition project funded by Department of Homeland Security. All processes defined in the following tasks must be automatic, and their processing speeds are reasonably fast.
2, Sept, 2015 --- IFT received a Navy SBIR Phase I contract on A Camera, Laser Ranger and RF MIMO SAR Mixed Imaging-Ranging Sensor for Precise, Automated Position-Keeping
3, Sept, 2015 --- IFT received a Navy SBIR Phase I contract on A Low SWaP-C Chirped LFMCW Radar Based UAS Collision Avoidance System
4,July, 2015 --- IFT received an Air Force STTR Phase II award on Harness Enhanced Awareness for Radio Systems (HEARS) for Dynamic Spectrum Access in Space Application
5, July, 2015 --- IFT has been selected for an Air Force SBIR Phase I award on An Intelligent Image Compression Broker Based on Objective with Feedback
6, June, 2015 --- IFT received an Air Force SBIR Phase II contract on HEADGTSM: HPC EnAbled Distributed Game-Theoretic Sensor Management for Space Situational Awareness
7, March, 2015 --- IFT received an Air Force STTR Phase II contract on Evaluation of SANDGT Using SOA Framework for Persistent and Risk-Averse Space Situation Awareness
8, January, 2015 --- IFT received an Air Force STTR Phase II contract on Evaluation of High Performance Computing Enabled Multiple-Target Tracking Based on Massive Parallelism for Urban Surveillance Areas
9, Oct, 2014 --- IFT received an ONR SBIR Phase I contract on A Low SWaP Spectrum Monitoring System with Virtual Omni Directional Antenna
10, Oct, 2014 --- IFT received an AF STTR Phase I contract on GUARD: A Game Theoretic Universal Anti-RFI Defense Framework for Satellite Communication
11, Oct, 2014 --- IFT received an AF STTR Phase I contract on AFSCN Upgrade Based on Smart Antenna and Cognitive Satellite Radio
12, Oct, 2014 --- IFT received an AFRL subcontract on RFI detection and prediction from Catholic University of America
13. May, 2014 --- IFT received an Air Force SBIR Phase I award on Game-Theoretic Distributed Sensor Management for RSO Detection, Classification and Tracking
14,June, 2013 --- IFT has been selected for an Air Force STTR Phase I award on Decision-Making under Uncertainty for Dynamic Spectrum Access Systems in Space Application
15, June, 2013 --- IFT has been selected for an Air Force STTR Phase I award on HPC-MTT: High Performance Computing Enabled Multiple Target Tracking for Urban Surveillance Areas
16, May, 2013 --- IFT has been selected for an Air Force SBIR Phase I award on Consistency Based Gaussian Mixture Tracking Framework for Space Situation Awareness (CbGM-SSA)
17, May, 2013 --- IFT has been selected for an Air Force SBIR Phase I award on Network Survivability Oriented Markov Games (NSOMG) in Wideband Satellite Communications
18, March, 2013 --- IFT has been selected for an Air Force Research Lab. BAA award on Video to Text (V2T) for Wide Area Motion Imagery
19, November, 2012 --- IFT has been selected for an Air Force STTR Phase I award on SANDGT: a Stochastic Adaptive Nonlinear Differential Game Tool for Persistent and Risk-Averse Space Situation Awareness
20, November, 2012 --- IFT has been selected for an Air Force SBIR Phase II award on A Holistic Approach to Optimal and Secure Tactical Wireless Broadband Systems
21, November, 2012 --- IFT has been selected for an Air Force SBIR Phase II award on A Network Sensor-Based Defense Framework for Active Network Security Situation Awareness and Impact Mitigation
22, August, 2012 --- IFT received an Air Force SBIR Phase III contract on Autonomous ISR Testbed with multiple robots
23, August, 2012 --- IFT received an Air Force STTR Phase I contract on Effective Routing Algorithms for IP based Satellite Networks
24, May, 2012 --- IFT received a DARPA SBIR Phase II contract on VHF/UHF Emitter Localization Based on DOA Fusion with Two UAS
25, Jan., 2012 --- IFT received an Air Force SBIR Phase I contract on A Holistic Approach to Optimal and Secure Tactical Wireless Broadband Systems
26, September, 2011 --- IFT received an Air Force SBIR Phase I contract on A Network Sensor-Based Defense Framework for Active Network Security Situation Awareness and Impact Mitigation
27, September, 2011 --- IFT received a contract on SOA based persistent ISR Testbed development
28, July, 2011 --- IFT received a contract on Stackelberg Game Approach to Cognitive Radio Networking with Anti-Jamming
29, June, 2011 --- IFT received a DARPA SBIR Phase I contract on VHF/UHF Emitter Localization Based on DOA Fusion with Two UAS
30, April, 2011 --- IFT received a contract on face detection, eyeglasses detection, image retrieval algorithms for face recognition
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