NDLI: Robust adaptive beamforming based on sliding-window RLS algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ma Long Wu Xin-yue
Copyright Year	2010
Description	Author affiliation: Mechanical Engineering Department, Naval University of Engineering, Wuhan, China (Ma Long; Wu Xin-yue)
Abstract	First, the role that diagonal-loading technique plays to resolve the mismatch and underestimation problems is explained, which are often encounterd in array signal processing as to estimate the covariance matrix. And then the drawback of RLS algorithm that the diagonal loading value attenuate rapidly is pointed out. Thus a new RLS algorithm using sliding rectangular window (RLS-SW) is presented to estimate the covariance matrix and invert it recursively. The simulation results shows that RLS-SW algorithm can maintain the diagonal loading value, which makes it more robust. Computational complexity of RLS-SW algorithm and other matrix inversion algorithm such as Gaussian elimination and RLS are analyzed and compared. The results show that the RLS-SW algorithm presented in this paper is efficient and robust enough to be applied to real-time adaptive beamforming.
File Size	395508
File Format	PDF
ISBN	9781424468928
e-ISBN	9781424468935
DOI	10.1109/ICSPS.2010.5555483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis sliding Covariance matrix recursive least-squares Loading Signal processing algorithms mismatch Robustness diagonal-loading rectangular window Sensors Arrays robust adaptive beamforming
Content Type	Text
Resource Type	Article

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