相控阵天线故障诊断方法研究

Research on fault diagnosis method of phased array antenna

随着相控阵天线阵列数目的增加和机载雷达尺寸的增大,故障单元快速诊断的需求日益迫切。本文基于相控阵天线故障诊断的原理,研究了一种相控阵天线故障信号的预处理和诊断方法。首先用矩量法构建了仿真环境;其次利用小波模极大值的方法对信号进行了降噪处理,并提取了时域统计特征和小波能量特征;最后运用层次SVM诊断方法进行分类,获得更高的准确率。实验表明,在信噪比不同的情况下,分类正确率呈现稳步提高的趋势。理论上证明该方法能够有效诊断相控阵阵元故障。

With the increasing number of phased antenna and the increasing size of airborne radar,the demand of rapid diagnosis in fault unit is becoming more and more urgent.Based on the principle of fault diagnosis for phased array antenna,a fault signal preprocessing method and a diagnosis method of phased array antenna is studied in this paper.At first,simulation environment is built with MoM.Secondly,using the method of the wavelet modulus maxima to achieve noise reduction processing and extracting the statistical features of time domain and wavelet energy features.Finally,using the improved SVM method to classify for getting a higher accuracy.As the scale increases,the classified accuracy does not decreased obviously.Results turn out that this method is effective in diagnosis of phased array element theoretically.