Robust STAP with coprime sampling structure based on optimal singular value thresholding

基于最优奇异值阈值的互质采样结构的鲁棒STAP

阅读:1

Abstract

In radar systems, element gain-phase errors can degrade the performance of space-time adaptive processing (STAP), and even cause complete failure. To address this issue, the STAP with the coprime sampling structure based on optimal singular value thresholding is proposed. The algorithm corrects errors by adding four calibrated auxiliary elements and auxiliary pulses to the original array and pulse sequence, while maintaining the coprime sampling structure. The corrected virtual clutter covariance matrix (CCM) is then expanded and filled with holes. Subsequently, the optimal singular value thresholding method is used to restore the CCM. Simulation results demonstrate that the proposed algorithm shows advantages in convergence speed, detection probability, and stability.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。