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      An Overview on Sparse Recovery-based STAP

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          Abstract

          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.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 April 2014
          : 3
          : 2
          : 217-228
          Affiliations
          [1 ] Department of Electronic Engineering, Tsinghua University
          Article
          8b5917e22ccc47a8af3a573ca6520f56
          10.3724/SP.J.1300.2014.14002

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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