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A Clutter Suppression Algorithm via Weighted ${\ell }_2{\rm{ - norm}}$ Penalty for Airborne Radar.
- Source :
- IEEE Signal Processing Letters; Jul2022, Vol. 29, p1522-1525, 4p
- Publication Year :
- 2022
-
Abstract
- In this letter, to improve the performance of the space-time adaptive processing (STAP) filter with finite training samples, a novel algorithm with multiple measurement vectors (MMV) based on sparse recovery (SR) is proposed. Compared with traditional SR STAP algorithms, we utilize the knowledge of Capon spectrum to design a weighted ${\ell }_2{\rm{ - norm}}$ penalty which can better approximate the original ${\ell }_0{\rm{ - norm}}$. Besides, the proposed algorithm has fast convergence performance and closed-form analytic solution in each iteration. Simulation results demonstrate the effectiveness and great performance of the proposed method. [ABSTRACT FROM AUTHOR]
- Subjects :
- RADAR in aeronautics
ALGORITHMS
APPROXIMATION algorithms
SPACETIME
Subjects
Details
- Language :
- English
- ISSN :
- 10709908
- Volume :
- 29
- Database :
- Complementary Index
- Journal :
- IEEE Signal Processing Letters
- Publication Type :
- Academic Journal
- Accession number :
- 158517169
- Full Text :
- https://doi.org/10.1109/LSP.2022.3187347