DocumentCode :
1608132
Title :
A second-order statistics-based optimization approach for blind MIMO system identification
Author :
Bradaric, Ivan ; Petropulu, Athina P. ; Diamantaras, Konstantinos I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
277
Lastpage :
280
Abstract :
We consider the problem of identifying a multiple-input multiple-output (MIMO) finite impulse response system excited by colored inputs with known statistics. Among other applications this problem appears in the context of CDMA communications systems with spatial and temporal diversity. We propose a novel approach that optimizes a criterion involving spectra and cross-spectra of the system output. Simulation results indicate that the proposed scheme works well, even for large order systems, and is robust to noise and channel length mismatch
Keywords :
MIMO systems; blind equalisers; code division multiple access; identification; optimisation; parameter estimation; statistical analysis; CDMA communications; FIR MIMO system; blind system identification; channel length mismatch; colored inputs; cross-spectra; equalizer; finite impulse response system; large order systems; multiple-input multiple-output system; second-order statistics-based optimization; simulation results; spatial diversity; temporal diversity; Computer science education; Educational technology; Finite impulse response filter; Frequency domain analysis; Higher order statistics; Informatics; MIMO; Multiaccess communication; System identification; Systems engineering education;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
Type :
conf
DOI :
10.1109/SSP.2001.955276
Filename :
955276
Link To Document :
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