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ST081-008




Go To DOD SBIR Site
Basic Information:

Title:	Dynamic Multisensor Exploitation (DYME)
Program:	STTR
Technology Area:	Information Systems, Sensors
Open Date:	2/19/2008
Close Date:	3/19/2008

Description:

Military Threats in the Global War on Terrorism (GWOT) use deceptive techniques to deny discovery by reconnaissance and surveillance sensors. These techniques vary from utilizing camouflage and concealment, to deceptive operation within civilian population and environments. The discovery of military threats is especially difficult in the urban terrain with obscuration by buildings and other structures, and in the littoral regions with foliage and river/shallow water concealment. The adversarys techniques and procedures are derived to deny, through hide and irregular movement, the current sensors ability to consistently detect, track and identify their presence. Multiple sensor data exploitation has been useful in defeating camouflage, concealment and deception when the threats are stationary, and the multiple sensors can efficiently detect target features to reduce the false classification of threat types. These techniques have not been demonstrated for small threats (dismounts and vehicles) in difficult environments, and when the threats are mobile. New technologies are needed to project the detection and discrimination of threat observables from each individual sensor modality, into consistent spatial and temporal conditions, where the features provide an improvement in discrimination of threats from cultural and civilian objects. Processing of data from multiple sensors requires the ability to detect potential threats, extract the relevant features, and communicate the data to a sensor correlation and exploitation process. Architectures for multiple sensor exploitation must consider the amount of data collection, the distributed implementation of the correlation and tracking algorithms, and use of additional conditions within the environment (obscuration, weather, tactics, etc.) affecting the correct classification of threats. A key metric will be the computational cost of multiple sensor exploitation processing and requirements on data storage and dissemination. Demonstration of the multiple sensor correlation for correct discovery of mobile threats must be accomplished by a combination of modeling and simulation, and validation with data collected in a representative environment. The research should specify the conditions and instrumentation on any future collection to insure successful verification of proposed algorithmic approaches.

Objective:

Prepare a Phase I feasibility study to develop and verify algorithms utilizing detection inputs from multiple sensor modalities (Radar, Electro-Optic, Acoustic, etc) to discriminate between mobile combatants and vehicles in both an urban and littoral environment.

Phase I:

Prepare a feasibility study for developing multiple sensor detection and identification of mobile threats in urban/littoral environments. During the first phase, the performer will propose advanced algorithms for combining complementary features on threats, where the multiple sensors are at dissimilar modalities, viewing geometries and times. As part of the final report, plans for Phase II will be proposed.

Phase II:

Formal design of the algorithmic implementation will be performed, and a preliminary design review and report will be generated. The design will be verified by a combination of modeling and simulation and limited experimental collections. Critical measures of Performance will be verified in terms of sensor characteristics, data quality and dissemination, and probability of correct classification of mobile asymmetric threats. A critical design review will be performing to finalize the design and a prototype processing unit will be designed and tested.

Phase III:

Candidate applications for this technology span both the military and commercial arenas. Application of the technology to current Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) systems is most important. Application to Homeland Defense and commercial security applications are important extensions.

References:

1. NetTrack Program: http://dtsn.darpa.mil/ixo/programs.aspid=98

STTR Keywords

Multiple Sensor Exploitation, Camouflage Concealment & Deception, Modeling and Simulation

TechMatch Keyword(s):

Computer Software

Applications

Data Fusion

Data Visualization and Graphics

Image Processing and Pattern Recognition

Knowledge Management

Signal Processing

Geographic Information Systems (GIS)

Databases

Detection and Countermeasures

Personnel Detection

Electronic Warfare

Threat Warning Systems

Sensors

Terrorism, Counter-Terrorism, Anti-Terrorism

Camouflage

Passive

Surveillance

Net-Centric Warfare (NCW)

Urban Operations

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