基于RCS相位筛选的多星无源雷达目标检测方法

Multi-star Passive Radar Target Detection Method Based on RCS Phase Filter

目前的多星无源雷达系统中,目标雷达反射截面积(Radar-Cross Section,RCS)随角度的起伏会对检测性能产生较大的影响且RCS峰值处的相位存在不规律的变化。根据RCS存在聚集特性,提出了基于RCS相位筛选的目标检测方法。该方法将不同时刻的目标RCS峰值区域的多个卫星反射信号进行累积,根据相位的不同变化筛选出相关时间,得到最大的相关累计增益。仿真结果表明,在检验概率超过70%情况下,检测性能相比于固定相关时间提升约1.03dB,同时为后续多星信号下的雷达检测性能估计奠定了基础。

According to the aggregation property of RCS(Radar-Cross Section,RCS),a target detection method based on RCS phase filter is proposed in this paper.This method accumulates the reflected signals of multiple satellites passing through the peak area of target RCS at different moments,and screens out the correlation time according to the different changes of phase,so as to obtain the maximum correlation cumulative gain.Simulation results show that when the inspection probability is more than 70%,the detection performance is improved by about 1.03 db compared with the fixed correlation time,which lays a foundation for the subsequent radar detection performance estimation under multi-star signal.