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L 1-regularised joint iterative optimisation space-time adaptive processing algorithm

Content Provider	IET Digital Library
Author	Zhiqi, Gao Haihong, Tao Shengqi, Zhu Jichao, Zhao
Abstract	In this study, two novel joint iterative optimisation space-time adaptive processing (STAP) algorithms are proposed based on L 1-regularised for airborne radar. Both of them are implemented in generalised sidelobe canceller (GSC) architecture. When the rank of the interference covariance matrix is far fewer than the system degrees of freedom, the STAP filter weight will be sparse. In this case, a sparse constraint is further imposed to the minimum variance criterion of GSC. To solve this optimisation problem, a joint iterative recursive least squares (RLS) algorithm (L 1-JI-RLS) and a joint iterative least mean square (LMS) algorithm (L 1-JI-LMS), both of which are based on L 1-regularised, are proposed. The L 1-JI-RLS algorithm achieves the minimum output power by adjusting the penalty parameter and filter weight adaptively, while the L 1-JI-LMS algorithm does it by adjusting the penalty parameter, step and filter weight adaptively. The computational complexity of the L 1-JI-LMS algorithm is far lower than the conventional and some sparse STAP algorithms. Monte Carlo experiments validate that both the L 1-JI-RLS and L 1-JI-LMS algorithms outperform other L 1-based and reduced-rank STAP algorithms, such as a faster convergence rate, improved output signal-to-interference-plus-noise-ratio and target detection performance.
Starting Page	435
Ending Page	441
Page Count	7
ISSN	17518784
Volume Number	10
e-ISSN	17518792
Issue Number	Issue 3, Mar (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/10/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2015.0044
Journal	IET Radar, Sonar & Navigation
Publisher Date	2016-03-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Airborne Radar Computational Complexity Generalised Sidelobe Canceller Architecture Interpolation And Function Approximation Iterative Method Joint Iterative Recursive Least Squares Algorithm L1-regularised Joint Iterative Optimisation Space-time Adaptive Processing Algorithm Least Squares Approximation Minimum Variance Criterion Monte Carlo Experiments Monte Carlo Method Numerical Analysis Optimisation Optimisation Technique Radar Equipment Radar Signal Processing RLS Algorithm Signal Processing And Detection Space-time Adaptive Processing STAP Algorithm System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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