CAJ | 학술논문

随着压缩感知理论的兴起和发展，基于空时功率谱稀疏性的空时自适应处理（STAP ）技术受到越来越广泛的关注。本文首先简单回顾了空时自适应处理技术的传统方法，接着从三个不同角度分析了空时功率谱的稀疏性并探讨了基于空时功率谱稀疏性的STAP技术的潜在优势，然后总结了基于空时功率谱稀疏性STAP基本原理和三种实现方式，根据稀疏支撑集先验信息知晓情况对现有基于空时功率谱稀疏性的STAP方法进行了分类，包括：基于阵列流形知识的STAP技术、基于空时功率谱稀疏恢复的STAP技术以及基于阵列流形知识和空时功率谱稀疏恢复的STAP技术，并对其研究现状进行了综述。最后在已有研究的基础上，着眼于提高杂波抑制和运动目标检测能力的发展需要，提出了未来该技术需要重点解决和关注的若干问题，包括稀疏性的本质机理分析、空时导向字典的设计、参数设置简单，快速和低复杂度算法设计、对模型误差稳健的算法设计、多种先验知识融合的基于空时功率谱稀疏性的STAP算法设计、基于空时功率谱稀疏性STAP方法的恒虚警检测器设计以及实测数据验证等方面。
수착압축감지이론적흥기화발전，기우공시공솔보희소성적공시자괄응처리（STAP ）기술수도월래월엄범적관주。본문수선간단회고료공시자괄응처리기술적전통방법，접착종삼개불동각도분석료공시공솔보적희소성병탐토료기우공시공솔보희소성적STAP기술적잠재우세，연후총결료기우공시공솔보희소성STAP기본원리화삼충실현방식，근거희소지탱집선험신식지효정황대현유기우공시공솔보희소성적STAP방법진행료분류，포괄：기우진렬류형지식적STAP기술、기우공시공솔보희소회복적STAP기술이급기우진렬류형지식화공시공솔보희소회복적STAP기술，병대기연구현상진행료종술。최후재이유연구적기출상，착안우제고잡파억제화운동목표검측능력적발전수요，제출료미래해기술수요중점해결화관주적약간문제，포괄희소성적본질궤리분석、공시도향자전적설계、삼수설치간단，쾌속화저복잡도산법설계、대모형오차은건적산법설계、다충선험지식융합적기우공시공솔보희소성적STAP산법설계、기우공시공솔보희소성STAP방법적항허경검측기설계이급실측수거험증등방면。
With the development of compressive sensing theory ,the space-time adaptive processing (STAP ) technology based on sparsity of space-time power spectrum (STPS) receives a growing interest .This paper firstly reviews the traditional STAP algorithms and shows analysis of sparsity of STPS from three different points of view and potential advantages of STAP technology based on sparsity of STPS .Then ,the current developed STAP algorithms based on sparsity of STPS are categorized into three class-es ,such as STAP based on prior knowledge of array manifold ,STAP based on sparse recovery of STPS and STAP based on both prior knowledge of array manifold and sparse recovery of STPS .It also performs an overview of those algorithms .Finally ,based on the progress of the existing research ,some key issues to enhance the performance of clutter suppression and moving target detection are introduced ,which include intrinsic mechanism analysis of sparsity ,space-time steering dictionary design ,easy parameters setting , fast and low complexity algorithms design ,robust algorithm design ,STAP algorithms based on sparse recovery of STPS design by exploiting different types of prior knowledge ,and constant false alarm rate detector design of STAP based on sparsity of STPS and validation using measurement data .