DocumentCode :
832526
Title :
On the equivalence of RLS implementations of LCMV and GSC processors
Author :
Werner, Stefan ; Apolinário, José A. ; De Campos, Marcello L R
Author_Institution :
Signal Process. Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume :
10
Issue :
12
fYear :
2003
Firstpage :
356
Lastpage :
359
Abstract :
This letter compares the transients of the constrained recursive least squares (CRLS) algorithm with the generalized sidelobe canceler (GSC) employing the recursive least squares (RLS) algorithm. We prove that the two adaptive implementations are equivalent everywhere regardless of the blocking matrix chosen. This guarantees that algorithm tuning is not affected by the blocking matrix. This result differs from the more restrictive case for transient equivalence of the constrained least mean-square (CLMS) algorithm and the GSC employing the least mean square (LMS) algorithm, for in this case the blocking matrix needs to be unitary.
Keywords :
adaptive filters; array signal processing; filtering theory; least squares approximations; recursive filters; transients; GSC processor; LCMV processor; RLS algorithm; beamforming; blocking matrix; constrained least mean-square algorithm; constrained recursive least squares algorithm; generalized sidelobe canceler; linearly constrained adaptive filtering; linearly constrained minimum variance; recursive least squares algorithm; transient equivalence; Adaptive filters; Array signal processing; Least squares approximation; Least squares methods; Nonlinear filters; Resonance light scattering; Signal processing; Signal processing algorithms; Vectors;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2003.818861
Filename :
1247830
Link To Document :
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