机载非正侧视阵的杂波是距离依赖的,使用对称或分段样本选择策略估计的协方差矩阵误差较大,为此提出了一种分段非对称的样本选择策略。针对非正侧视阵距离模糊杂波的分布特性,把数据按距离依赖的程度分段,在距离依赖严 重的分段内进行非对称样本选择,在距离依赖较弱的分段,仅计算一次权值。该样本选择策略的在性能和计算量两方面 都有所改善。仿真结果证明了该方法的有效性。

The ground clutter of the non-side-looking arrays is seriously range dependent, thus the covariance estimated from symmetric or segmented selected samples is seriously skewed. A segmental asymmetric secondary data selection method is presented. The clutter distribution of the non-side-looking array is analyzed in detail. The data from all range gates are assigned to different segments according to the range dependent extent. In the segment that clutter is strongly range dependent, the asymmetric secondary data selection method is used, otherwise a single weight is calculated. The method proposed is improved at both performance and computation cost. Computer simulation results prove the validity of the method.