Unified Move Stop Move Combat Identification

ABSTRACT: The research and development of systems for detecting, tracking, and identifying ground vehicles has historically followed separate paths based upon whether or not the vehicles are moving or stationary. As ground vehicles occur frequently in both states, any solution must address both conditions. For this effort, Matrix Research proposes the development of an approach for the simultaneous processing of moving and stationary vehicles using one radar waveform. In addition, we will investigate the use of electro-optic sensors to perform the same function. Including both radar and electro-optic data allows for a relative comparison of the two sensor modalities, as well as performance of a system that fuses the sensor data. Emphasis is placed on approaches for solving what we consider to be the most challenging issues. For radar, this is extracting ultra-high range resolution profiles from synthetic aperture radar data. For electro-optics, this is detecting stationary targets in video. BENEFIT: The anticipated benefits of this work is a unified approach for performing combat identification for ground targets that are both moving and stationary. This work will also likely result in extending feature aided tracking software to now include stationary vehicles.