Detection and tracking of moving vehicles with Gotcha radar systems

Abstract

In summary, we have defined an approach for detecting and tracking moving vehicles with Gotcha radar systems. Our approach exploits tracker feedback to address challenges for detection, false alarm mitigation, geolocation, and tracking in an urban surveillance environment. We presented a mathematical framework for processing multichannel SAR data in order to mitigate the combined effects of moving target defocus and strong clutter interference. Our algorithm uses MRP adaptively in a STAP framework to focus up moving vehicles and enhance signal to clutter ratios. Using simulated data, we illustrated SAR defocus of an accelerating point scatterer and mitigation of the defocus using MRP. For this simulated example, we also presented the potential improvements to SINR loss using our adaptive processing compared to more standard STAP approaches.