宽带多极化雷达目标模糊匹配识别方法

Method of wideband polarization radar target recognition using fuzzy matched filters

针对宽带多极化雷达体制,提出了一种雷达目标模糊匹配识别新方法。介绍了距离-极化模糊矩阵的构造和多维模糊匹配的原理,介绍了模糊匹配模式矩阵库的构造方法,利用宽带多极化测量数据进行了目标识别的实验。实验结果表明,该方法匹配运算量少,对目标姿态角的变化有较强的容忍能力,为解决宽带多极化雷达目标识别提供了一条有效的途径。

A novel method of fuzzy matched filtering for wideband polarization radar target recognition is presented. First the theory of multiple-polarized range profile recognition using multi-dimensional fuzzy matched filters is introduced. Then the approach to the construction of fuzzy matched filters is given. At last wideband polarization experimental data of radar targets are used to test the performance of the method. Experimental results show that the method has the advantages of less computational load and good adaptation to the change of target attitude angles, and it is helpful to wideband polarization radar target recognition.