雷达科学与技术2024，Vol.22Issue(2)：218-225,230,9.DOI:10.3969/j.issn.1672-2337.2024.02.012
基于三维原子范数的机载MIMO雷达STAP算法
STAP Algorithm for Airborne MIMO Radar Based on Three-Dimensional Atomic Norm Minimization
摘要
Abstract
Aiming at the problem of grid mismatch in space-time adaptive processing(STAP)of airborne multiple-input multiple-output(MIMO)radar using sparse recovery technology,a STAP algorithm for airborne MIMO radar based on three-dimensional atomic norm minimization is proposed.According to the low rank matrix recovery theory,a three-dimensional continuous atomic set based sparse recovery model of MIMO clutter signal is constructed,which uti-lizes the inherent sparsity of clutter space-time spectrum in the angle-Doppler domain.The proposed method can avoid grid mismatch problem in the sparse recovery,which obtaines the clutter spectrum with high accuracy and effectively im-proves the clutter suppression performance of airborne MIMO radar STAP.Simulation results demonstrate that com-pared with existing dictionary-grid-based sparse recovery method and two-dimensional atomic norm minimization meth-od,the proposed method provides better STAP processing performance in terms of SINR loss under the grid mismatch condition.关键词
机载MIMO雷达/空时自适应处理/稀疏恢复/格点失配/原子范数Key words
airborne MIMO radar/space time adaptive processing/sparse recovery/grid mismatch/atomic norm分类
信息技术与安全科学引用本文复制引用
来燃,李港,董子正,王穗,章涛..基于三维原子范数的机载MIMO雷达STAP算法[J].雷达科学与技术,2024,22(2):218-225,230,9.基金项目
天津市教委科研计划项目(No.2021KJ048) （No.2021KJ048）
