机载雷达采用均匀圆形阵列天线具有搜索跟踪方式灵活,能实现方位360°扫描等优点,并且当波束在阵列平面内旋转时,波束形状不会有明显改变。本文建立了均匀圆形阵列机载雷达的杂波模型,从杂波谱的空时分布和杂波特征谱的分布两个方面研究了其杂波特性,提出一种固定结构降维结合自适应降秩的STAP算法:局域互谱尺度法,该方法先用固定结构降维处理器将杂波由全空时降至一个维数较低的空间,以减小计算量,降低训练样本数目,然后采用互谱尺度法选取降维杂波协方差矩阵N个最大互谱值对应的特征矢量构成二次降维矩阵,从而保证了在局域范围内,处理器性能最优。仿真结果表明,该算法的性能优于局域处理算法,但运算量和训练样本数与局域处理法相当,且鲁棒性较强。
Airborne radar with uniform circular array antennas has the merits of flexible search and track mode,all-orientation space scanning and good beamform when the beam center deviates from the normal of the array.In this paper,the signal model of uniform circular array is set up and the clutter characteristics of uniform circular array are analyzed from the aspects of distribution of clutter spectral and the distribution of eigenvalues of the clutter matrix.A new space time adaptive processing method for uniform circular array, namely localized cross spectral metric algorithm,is proposed.In this method,structured reduced dimension technology is firstly adopted to reduce the dimension of processer and then cross spectral method is used to select N eigenvectors of clutter matrix which correspond with the N maximum cross spectral metric to construct the secondly reduced dimension matrix.Simulation results show the proposed method outperforms significantly localized processing methods while the computation load and independently identically distributed samples needed are about the same as those methods and is robust when the error occurs.