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Imaging of Moving Ground Vehicles.
| 题名： | Imaging of Moving Ground Vehicles. |
| 作者： | Duong, T. V.;Hershkowitz, S. J.;Rihaczek, A. W.; |
| 关键词： | SYNTHETIC APERTURE RADAR, GROUND VEHICLES, MOVING TARGET INDICATORS, ALGORITHMS, MEASUREMENT, ROLL, PITCH(MOTION), YAW, DEFORMATION, MOTION, ACCURACY, IMAGES, IDENTIFICATION SYSTEMS, TEMPLATES, ADAPTIVE SYSTEMS, COMPENSATION, INTERVALS. |
| 摘要： | We demonstrate the processing steps necessary for the identification of moving ground vehicles with synthetic aperture radar (SAR). The variety of targets is so large and the vehicles can behave in so many different ways that only a highly adaptive algorithm can accommodate all the different conditions, and identification requires that use be made of the complex image. The yaw/pitch/roll/bounce/flex motion of a moving ground vehicle demands that different motion compensations be applied to different parts of the vehicle. The objective of motion compensation must be to generate an image with well compensated complex responses, not to produce a 'focused' image. The motion compensation must adaptively select imaging intervals for which this is possible. Vehicle motion can cause cross range positions of scatterers to be falsified. Thus, identification must rely primarily on their range positions, using enough crossrange resolution to allow accurate range measurements. With a deformable template procedure, measured scatterer positions can then be compared to predictions for candidate targets. We process data to demonstrate that these principles must be followed even in the benign case of slow vehicle motion on a Smooth road, and describe how the processing must be extended for more severe motion. |
| 总页数： | 128 |
| 报告类型： | 科技报告 |
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