基于二维匹配优化成像的地面动目标检测方法

Ground moving target detection method based on optimized imaging by two-dimensional matching

合成孔径雷达在对地面运动目标的高精度成像时,目标径向速度引起距离向走动、方位向速度引起散焦,导致目标的信噪比和检测概率下降。采用距离走动校正滤波器组和方位匹配滤波器组级联的方法对多通道杂波抑制后的数据进行二维匹配优化成像,降低剩余杂波的功率同时提高动目标的聚焦效果;进一步在各滤波器成像后使用自适应门限进行恒虚警检测,并对输出的多个检测结果进行判断与融合。仿真与实测数据的处理结果表明了该方法的有效性。

When synthetic aperture radar(SAR)imagines a moving target with high accuracy,the radial velocity of the target causes the range migration and the azimuth velocity causes the azimuth defocus,which will lead to the decrease of the signal-to-noise ratio and detection probability of the target.In this paper,a method of the series connection of range migration correction filter bank and azimuth matched filter bank is proposed to optimize the two-dimensional matching imaging of the multi-channel clutter suppressed data,which can reduce the residual clutter power and improve the focusing effect of moving targets.Then the CFAR detection is performed using adaptive threshold after each filter is imaged,and the output of multiple test results can be judged and fused.The results of simulation and measured data processing demonstrate the effectiveness of the method.