Law enforcement and military operations would clearly benefit from a capability to locate snipers by backtracking the sniper's bullet trajectory. Achieving sufficient backtracking accuracy for bullets is a demanding radar design requiring good measurement accuracy, high update rates, and detection of very low cross-section objects. In addition, reasonable cost is a driving requirement for law enforcement use. These divergent design requirements are addressed in an experimental millimeter-wave focal plane array radar that uses integrated millimeter-wave receiver technology. The radar is being built for DARPA by Technology Service Corporation, with assistance from M.I.T. Lincoln Laboratory and QuinStar Technology.The key element in the radar is a 35 GHz focal-plane array receiver. The receive antenna lens focuses radar signals from a wide field of view onto an array of receivers, each receiver processing a separate element of the field of view. Receiver detections are then combined in a tracking processor. An FM-CW waveform is used to provide high average power, good range resolution, and stationary clutter rejection. TSC will be testing the Sniper Detection Radar using radar environment simulator technology developed at Lincoln Laboratory. The simulator will retransmit the received signal with the range delay, doppler shift, and ERP for various simulated bullet trajectories.
In the last year, several moderately-priced real-time image generators offering textured rendering have appeared on the market. These image generators provide an opportunity for more realistic IR image simulation by significantly increasing the level of detail of the simulated image with no degradation in real-time performance. As part of the development of a new imaging IR simulator, we have incorporated the texturing feature of our image generator with our thermal model to generate thermally accurate textured IR backgrounds. Our textured thermal model uses a twodimensional Markov process to generate a background temperature fluctuation map; this model has been proposed by several studies of thermal IR terrain measurements. The textured surfaces are processed through our radiance and sensor models to generate the simulated images.
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