NDLI: Adaptive beamforming with instantaneous convergence & its efficient implementation in DSP hardware

Content Provider	IEEE Xplore Digital Library
Author	Sajith Mohan, C. Menon, S.B. Nissar, K.E. Arun Kumar, K.P.
Copyright Year	2012
Description	Author affiliation: Naval Physical and Oceanographic Laboratory (NPOL), Kochi, India (Sajith Mohan, C.; Menon, S.B.; Nissar, K.E.; Arun Kumar, K.P.)
Abstract	In applications where the scenario is highly non-stationary, lower convergence time of the adaptive algorithm becomes a crucial requirement. In this paper, an adaptive beamformer with a near instantaneous convergence is discussed. Thus more frequent updating of the beamformer weight vector is possible to cater for the dynamic scenario. But this necessitates a much higher computational requirement also. The computational complexity is mainly contributed by the matrix inverse computation. The performance of different algorithms, including the one using Householder transform based Cholesky factorization is compared. A computationally efficient implementation and its mapping to the TigerSHARC Digital Signal Processor (DSP) are presented.
Starting Page	700
Ending Page	704
File Size	682250
Page Count	5
File Format	PDF
ISBN	9781467322706
e-ISBN	9781467322720
DOI	10.1109/INDCON.2012.6420707
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-07
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Array signal processing Vectors TigerSHARC Covariance matrix Adaptive beamforming STMV Convergence Program processors MVDR Householder transformation Matrices Sensors Arrays Cholesky factorization
Content Type	Text
Resource Type	Article

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