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An Overview on Sparse Recovery-based STAP
- Source :
- Leida xuebao, Vol 3, Iss 2, Pp 217-228 (2014)
- Publication Year :
- 2014
- Publisher :
- China Science Publishing & Media Ltd. (CSPM), 2014.
-
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.
Details
- Language :
- English, Chinese
- ISSN :
- 2095283X
- Volume :
- 3
- Issue :
- 2
- Database :
- Directory of Open Access Journals
- Journal :
- Leida xuebao
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8b5917e22ccc47a8af3a573ca6520f56
- Document Type :
- article
- Full Text :
- https://doi.org/10.3724/SP.J.1300.2014.14002