基于零相关区序列集的空时自适应处理地面运动目标检测算法

Space-time Adaptive Processing Algorithm for Groud Moving Target Detection Based on Zero Correlation Zone Codes

在多发单收的合成孔径雷达-地面运动目标检测(SAR-GMTI)雷达系统中,虽然多颗卫星之间不需要数据传送就能在接收卫星上实现地面运动目标检测,但存在由于空间发射互相正交的一组波形而导致SAR成像相干积累的积分旁瓣过高的问题,从而影响对后续的图像域杂波相消性能。因此,文中提出了将空时自适应处理算法用于发射零相关区序列集(ZCZcodes)信号的星载多入单出系统,这样不用考虑积分旁瓣对SAR成像质量和图像域杂波相消性能带来的影响,且计算量较SAR-GMTI算法小,同样不需要数据传送也在接收卫星上实现了地面运动目标检测。仿真结果和性能分析验证了该方法的有效性。

A multiple-input single-output space-based SAR-GMIT system can transmit multiple orthogonal signals and realize GMTI avoiding the data transmission among the receiving satellites, of which the integrated side-lobe level is so high that clutter suppress performance of image domain is poor. Therefore, a space-time adaptive processing algorithm about ground moving target detection based on zero correlation zone codes is proposed, which can ignore the influence of integrated side-lobe to SAR image and clutter suppress performance.The computer task is less than SAR-GMTI algorithm and ground moving target detection on a single satellite receiver is also successful. The simulation results and performance analysis show that the proposed algorithm is efficient and feasible.