CAJ | 학술논문

该文介绍了基于稀疏恢复(Sparse Recovery, SR)的空时2维自适应处理技术(Space-Time Adaptive Processing, STAP)的研究背景、意义和具体实现方法。首先探讨了将稀疏恢复引入STAP领域的意义和价值，揭示了在杂波非均匀环境下引入稀疏恢复的潜在优势，分析了稀疏恢复 STAP 技术的数学意义。并在此基础上，系统梳理和总结了该研究方向的研究现状和已有成果，介绍了均匀线性阵列条件下稀疏恢复STAP技术的基本框架、多观测向量问题、格点对不准问题、直接数据域稀疏恢复 STAP、共型阵条件下基于稀疏恢复的 STAP 方法等具体研究内容。最后，总结了基于稀疏恢复 STAP 技术的框架和结构，并以此为基础对后续研究工作的方向和前景进行了探讨。
해문개소료기우희소회복(Sparse Recovery, SR)적공시2유자괄응처리기술(Space-Time Adaptive Processing, STAP)적연구배경、의의화구체실현방법。수선탐토료장희소회복인입STAP영역적의의화개치，게시료재잡파비균균배경하인입희소회복적잠재우세，분석료희소회복 STAP 기술적수학의의。병재차기출상，계통소리화총결료해연구방향적연구현상화이유성과，개소료균균선성진렬조건하희소회복STAP기술적기본광가、다관측향량문제、격점대불준문제、직접수거역희소회복 STAP、공형진조건하기우희소회복적 STAP 방법등구체연구내용。최후，총결료기우희소회복 STAP 기술적광가화결구，병이차위기출대후속연구공작적방향화전경진행료탐토。
This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented. Next, the potential advantages and mathematical explanation of the sparse-recovery-based STAP are discussed. A major part of this paper presents the state-of-art research results in spatio-temporal spectrum-sparsity-based STAP, including the basic frame, off-grid problem, multiple measurement vector problem, and direct domain problem. The sparse-recovery-based STAP on conformal array problem is also introduced. Finally, a summary of sparse-recovery-based STAP is provided, and the problems that need to be solved and some potential research areas are discussed.