Title :
A robust FLS algorithm for linearly-constrained adaptive filtering
Author :
Resende, L.S. ; Romano, J.M.T. ; Bellanger, M.G.
Author_Institution :
DECOM, Univ. Estadual de Campinas, Sao Paulo, Brazil
Abstract :
A robust approach to implement the FLS algorithm for linearly constrained adaptive filtering is derived in this work. The robustness is provided by means of an additional correcting term which is also updated by a LS procedure. In fact, the novel algorithm works as the LS version of the classical LMS-based Frost algorithm. Simulation results with a long data input sequence show the performance of the proposed technique
Keywords :
adaptive filters; adaptive signal processing; filtering theory; least mean squares methods; LS procedure; classical LMS-based Frost algorithm; correcting term; fast least squares algorithm; linearly-constrained adaptive filtering; long data input sequence; performance; robust FLS algorithm; Adaptive filters; Array signal processing; Autocorrelation; Cost function; Filtering algorithms; Least squares approximation; Robustness; Roundoff errors; Signal processing; Signal processing algorithms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.390010
