Title :
Adaptive RRQR-based factorization: Improving the algorithm tracking capabilities
Author :
Fargues, Monique P. ; Ferreira, Milton P.
Author_Institution :
Dept. of Electr. & Comput. Eng., US Naval Postgraduate Sch., Monterey, CA, USA
Abstract :
An improvement to a rank-revealing QR (RRQR) updating procedure proposed earlier is presented. The method takes advantage of the simplicity of the QR updating scheme, the rank-revealing property proposed by T.F. Chan (1987), and the Hermitian property of correlation matrices. Simulations show that the `refined´ RRQR-based updating scheme approximates signal (and noise) subspaces closely and is robust to noise power errors
Keywords :
correlation methods; signal processing; tracking; Hermitian property; adaptive RRQR-based factorisation; algorithm tracking capabilities; correlation matrices; noise power errors; rank revealing QR updating procedure; signal processing; Computational modeling; Delay; Direction of arrival estimation; Distortion; Frequency; Matrix decomposition; Narrowband; Sensor arrays; Signal processing; Signal processing algorithms;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269206
