天基稀疏孔径雷达在波束扫描干涉模式下的GMTI研究
Ground Moving Target Indication of Space Based Sparse Array Scanned Pattern Interferometric Radar
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摘要: 在理论上天基稀疏孔径波束扫描干涉雷达(SPIR)的地面动目标检测方法仅适用于回波数据无方位模糊时的情形，但该文通过对点散布函数矩阵的进一步分解后发现，SPIR在方位模糊时仍会有一定的空时重构效果，且其动目标检测性能会比常规空时级联处理的性能好。Abstract: In theory, the Ground Moving Target Indication (GMTI) method of space based sparse array Scanned Pattern Interferometric Radar (SPIR) only works when there are no ambiguities in azimuth. By decomposing the Point Spread Function (PSF) matrix, It is proposed that SPIR can work even there are a few ambiguities in azimuth, i.e. the ground scene can be recovered to some degree. Also through simulation experiments, SPIR is found to get much better GMTI performance than that of general space-time cascade processing.
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