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TECHNOLOGIES & APPLICATIONS

 

Discrimination & Automatic Target Recognition Systems

Beyond line of sight weapons and operationally reduced time lines, there is an emergent need for weapon systems that allow the warfighter to rapidly decide whether an object of interest is threatening or benign. A sensor’s ability to enable advanced target discrimination plays an essential role in the kill chain of weapon systems.

Dynetics has experience in target signature generation, sensor modeling, signal processing and estimation, pattern recognition, and weapon system engineering that provides an excellent foundation for evaluating and testing the implementation of discrimination algorithms in current systems and developing new advanced algorithms. Our experience and expertise cover a broad range of sensor types including radar, imaging IR, and acoustic.

Dynetics has developed tools to model, assess, or develop algorithms and technologies for radar & IR sensors. Applications and algorithms for these technologies include air defense and missile defense radar systems and are readily extended to information, surveillance, and reconnaissance sensors.

For missile defense radar applications, Dynetics uses 6–DOF threat trajectories and high fidelity RCS models to develop discrimination feature calculation tools. Furthermore, we have developed advanced X–band algorithm modeling capability for missile defense discrimination and have evaluated fidelity requirements for RF signature modeling for such applications. We also evaluate kill–assessment algorithms using simulation and flight test data.

For air defense applications, Dynetics has used synthetic IR and radar information and data collected by fielded and testbed systems to develop and assess discrimination algorithms. We have also aided in the development of various waveforms used in air defense radars to achieve the required resolution properties while conserving radar resources.

For IR systems, Dynetics has used the Optical Signature Code to examine various discriminants, including scintillation effects due to the dynamics of lethal threats. We have used our signature generation capabilities to evaluate and understand the IR and optical discrimination capabilities of seeker systems against a variety of targets. We have also evaluated the acoustic signatures of aircraft and unmanned aerial vehicles and examined acoustic signature discriminants to classify remote aircraft detections.

Dynetics developed and tested an ATR system for use with the Senior Year Electro–Optical Reconnaissance Systems (SYERS), which is resolution intelligence, surveillance, and reconnaissance (ISR) sensor based on the U2 aircraft. The Dynetics ATR exploited special capabilities of a new sensor variant developed for collection of measurements and signatures intelligence (MASINT). The system was integrated into the contractor's Ground Segment architecture so that it supported improved processing on ISR image products by analysts.

A novel ATR testbed has been developed for the Aviation and Missile Research, Development, and Engineering Center based on off-the-shelf ATR technologies. By leveraging the increasing availability of COTS products, a means of comparing many potential solutions to ATR problems was implemented. This facilitates development of advanced processors for future weapon systems that will enable more autonomous and more accurate target selection by missile seekers and other unmanned sensors.

Dynetics merges a comprehensive understanding of classification and discrimination problems coupled with extensive experience and expertise in various military sensors to uniquely model, assess, and develop algorithms that promote warfighter success

Discrimination Algorithm Core Applications

Kill Assessment

High–Resolution Waveforms

Target Discrimination

Target Identification

Air and Missile Defense Radar Systems

Information, Surveillance, and Reconnaissance Sensors

X–band Algorithm Modeling

Acoustic Discriminants

Performance analysis including Receiver Operating Curves (ROCs) and Confusion Matrices

Automatic Target Detection (ATD) Algorithms

Automatic and Aided Target Recognition Algorithms