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