基于统计特性差异的距离多假目标识别技术

发布时间：2019-04-18 10:41

【摘要】：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。
[Abstract]:A deception jamming recognition method for radar range multiple false targets based on the difference of statistical characteristics of angle measurement is proposed in this paper. First of all, it is easy to misjudge multiple real targets in the same angle resolution cell as multiple false targets in distance by the traditional angle measurement chi-square test method, which is easy to be misjudged by the traditional angle measurement chi-square test method. Based on the fact that the mean value of the distance measurement difference between the false target and the real target is usually a time-invariant constant, the angle measurement chi-square test and the joint test of the distance difference mean and variance are combined. The accurate discrimination of the existence of interference between multiple false targets is realized. Then the multi-time measurement is accumulated, and then the sample set is constructed by the error of the corresponding angle measurement at the corresponding time. Finally, the accurate identification of true-false targets is realized by using the method of clustering and dividing the variance of false targets, which is larger than that of real targets' angular measurement and the method of cluster division of measured variances is adopted to distinguish the true-false targets.
【作者单位】：海军航空工程学院信息融合研究所;国防科学技术大学电子科学与工程学院;
【基金】：国家自然科学基金(61002006,61102167) “泰山学者”建设工程专项经费资助课题
【分类号】：TN974

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