西安电子科技大学学报（自然科学版）2025，Vol.52Issue(1)：117-129,13.DOI:10.19665/j.issn1001-2400.20241013
机载双基雷达SR-STAP杂波抑制方法
Airborne bistatic radar SR-STAP clutter suppression algorithm
摘要
Abstract
The existing sparse-recovery-based space-time adaptive processing(SR-STAP)method typically discretizes the angular Doppler plane into a multitude of grid points to generate a guidance dictionary.However,when these methods are employed for clutter suppression in bistatic airborne radars,they would encounter the issue of grid point mismatch,which significantly impairs the algorithm performance.In response to this problem,this paper presents an innovative approach using the atomic norm minimization(ANM)for clutter suppression in bistatic airborne radars.Unlike traditional methods,the ANM operates in the continuous domain without the need to generate a discrete grid matrix.Leveraging the positive semi-definiteness,block-Toplitz prosperity and low-rank nature of the clutter covariance matrix(CCM),the alternating direction multiplier method(ADMM)is used to iteratively solve the ANM problem,leading to the accurate estimation of the clutter subspace.Subsequently,the CCM is directly computed through eigen decomposition,improving the clutter suppression performance.Simulation results indicate that the proposed algorithm circumvents the grid-mismatch problem,achieves a more precise CCM estimation,and outperforms convolutional sparse recovery methods in terms of clutter suppression performance,particularly with fewer training samples.关键词
机载双基雷达/杂波抑制/稀疏恢复/原子范数最小化Key words
airborne bistatic radar/clutter suppression/sparse recovery/atomic norm minimization分类
电子信息工程引用本文复制引用
郭明明,潘时龙,曹兰英,王祥传..机载双基雷达SR-STAP杂波抑制方法[J].西安电子科技大学学报（自然科学版）,2025,52(1):117-129,13.基金项目
江苏省卓越博士后项目(2024ZB471) （2024ZB471）
