电子学报Issue(6)：1194-1204,11.DOI:10.3969/j.issn.0372-2112.2014.06.024
基于空时功率谱稀疏性的空时自适应处理技术研究进展
An Overview of Space-Time Adaptive Processing Technology Based on Sparsity of Space-Time Power Spectrum
摘要
Abstract
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 .关键词
空时自适应处理/空时功率谱稀疏性/阵列流形知识/杂波抑制/运动目标检测/稀疏恢复Key words
space-time adaptive processing/sparsity of space-time power spectrum/array manifold knowledge/clutter sup-pression/moving target detection/sparse recovery分类
信息技术与安全科学引用本文复制引用
阳召成,黎湘,王宏强..基于空时功率谱稀疏性的空时自适应处理技术研究进展[J].电子学报,2014,(6):1194-1204,11.基金项目
国家自然科学基金（No ．61025006，No ．61101182，No ．61201334）；湖南省自然科学基金杰出青年科学基金（No ．11 JJ1010）；湖南省研究生科研创新项目 （）
