混响背景下应用岭回归对角加载的空时处理方法

Ridge-Regression-Diagonal-Loading-based space-time adaptive processing for active sonar in reverberation

研究了空时自适应联合处理方法在主动声纳领域的应用。针对有限空时快拍数影响最优空时滤波器性能的问题,利用Capon谱估计器与最优空时处理器表达式的相似性,提出将岭回归(Ridge Regression)对角加载方法推广到空时联合自适应处理中。仿真结果表明,新的对角加载方法提高了基于样本协方差矩阵求逆法的空时滤波性能,能够有效抑制海面混响和干扰带来的不良影响。

This paper presents a space-time adaptive processing（STAP） method for the applications in active sonar.In order to address the problem about the performance of optimal space-time filter decreases with limited number of space-time data snapshots,by utilizing the comparability of the expression about Capon spectral estimator and optimal space-time filter,the Ridge Regression diagonal loading method is proposed for STAP applications.The simulation shows,the new diagonal loading method improves the performance of SMI-based space-time filter,and is able to suppress the surface reverberation and interference effectively.