NDLI: <formula formulatype=inline><tex Notation=TeX>$L_1$</tex> </formula>-Regularized STAP Algorithms With a Generalized Sidelobe Canceler Architecture for Airborne Radar

Content Provider	IEEE Xplore Digital Library
Author	Zhaocheng Yang de Lamare, R.C. Xiang Li
Copyright Year	1991
Abstract	In this paper, we propose novel l₁-regularized space-time adaptive processing (STAP) algorithms with a generalized sidelobe canceler architecture for airborne radar applications. The proposed methods suppose that a number of samples at the output of the blocking process are not needed for sidelobe canceling, which leads to the sparsity of the STAP filter weight vector. The core idea is to impose a sparse regularization (l₁-norm type) to the minimum variance criterion. By solving this optimization problem, an l₁-regularized recursive least squares (l₁-based RLS) adaptive algorithm is developed. We also discuss the SINR steady-state performance and the penalty parameter setting of the proposed algorithm. To adaptively set the penalty parameter, two switched schemes are proposed for l₁-based RLS algorithms. The computational complexity analysis shows that the proposed algorithms have the same complexity level as the conventional RLS algorithm (O((NM)²)), where NM is the filter weight vector length), but a significantly lower complexity level than the loaded sample covariance matrix inversion algorithm (O((NM)³)) and the compressive sensing STAP algorithm (O((N_sN_d)³), where N₈N_d >; NM is the angle-Doppler plane size). The simulation results show that the proposed STAP algorithms converge rapidly and provide a SINR improvement using a small number of snapshots.
Sponsorship	IEEE Signal Processing Society
Starting Page	674
Ending Page	686
Page Count	13
File Size	1249517
File Format	PDF
ISSN	1053587X
Volume Number	60
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal to noise ratio Clutter Algorithm design and analysis Covariance matrix Radar Steady-state switched schemes Airborne radar generalized sidelobe canceler architecture $L_1$-regularized recursive least squares algorithm space-time adaptive processing sparsity
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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