基于统计特性差异的距离多假目标识别技术

摘要

A radar multi-range-false-target jamming identification method based on statistical characteristic discrepancy of angle measurements is proposed.Firstly, real targets in the same angle recognition cell are easily mistaken for multi-range-false-target jamming based on the conventional angle measurements chi-square test.However, the mean value of range measurements difference is time invariant.So that, the existence of the multi-range-false-target jamming is judged exactly based on the angle measurements chi-square test and the mean-variance united test of range measurements difference.Then the measurements are accumulated, and the difference of angle measurements is used to construct a sample set.Finally, the false targets are discriminated from the true target based on the measurements variance clustering, because the variance of false targets is larger than the true target's variance.%提出了一种基于角度量测统计特性差异的雷达距离多假目标欺骗干扰识别方法.首先针对传统的角度量测卡方检验方法容易将相同角度分辨单元内的多个真实目标误判为距离多假目标干扰的问题,利用虚假目标与真实目标距离量测之差的均值通常为时不变常数的特点,将角度量测卡方检验与距离量测差均值和方差联合检验相结合,实现了距离多假目标干扰存在性的准确判别;然后对多个时刻量测进行积累,并通过对应时刻角度量测做差,构造样本集合;最后利用虚假目标比真实目标角度量测方差大的特点,采用量测方差聚类划分的方法,实现了真-假目标的准确鉴别.