基于子阵列自适应成像的RCS测量方法

RCS measurements method based on adaptive subarray imaging

为了解决复杂目标特定观测角度下回波不相参,进而影响基于成像的雷达散射截面积(RCS)测量精度的问题,基于三维后向投影(BP)算法,提出了一种基于子阵列自适应成像的目标RCS测量方法。该方法通过设置一个互相关系数,将全(虚拟)阵列自适应划分为若干个子阵列,对每个子阵列的回波数据分别成像并反演RCS,将所有的RCS曲线拼接,得到完整的RCS曲线。经仿真数据验证,该方法效果良好,可以改善计算得到RCS曲线的均值与方差。

When measuring complex targets at specific angles,a phase incoherence problem exists in the echo and will affect the precision of RCS measurements.To solve this problem,an RCS measurement method based on adaptive subarray imaging,which can increase the precision of RCS measurements is proposed.By setting a cross-correlation coefficient,this method adaptively divides the whole virtual array into several subarrays.With the help of imaging and inversion,the RCS curve corresponding to every subarray can be calculated.The whole RCS curve is obtained by splicing all RCS curves.A comparison between the imaging precision of a full-array imaging method and the proposed method is obtained,and the simulation results show that the measured RCS using this method is better than RCS measured by full-array imaging.