DocumentCode :
1883503
Title :
Fast maximum likelihood for blind identification of multiple FIR channels
Author :
Hua, Yingbo
Author_Institution :
Dept. of Electr. & Electron. Eng., Melbourne Univ., Parkville, Vic., Australia
Volume :
1
fYear :
1994
fDate :
31 Oct-2 Nov 1994
Firstpage :
415
Abstract :
We study the estimation of the impulse responses of multiple FIR channels which are driven by a virtually arbitrary unknown input sequence (including nonstationary, non-Gaussian, or/and colored sequences). The channel identifiability conditions are derived using a Fisher information matrix, which is in contrast to several existing approaches which are based on some specific estimation methods. A fast maximum likelihood method is developed, which is a two-step procedure where each step minimizes a quadratic function. The two-step maximum likelihood (TSML) method requires no initial estimates and is asymptotically (high SNR) optimum. Its implementation is discussed. An orthogonal complement system matrix is introduced which lays a foundation for this work
Keywords :
Gaussian noise; estimation theory; information theory; matrix algebra; maximum likelihood estimation; telecommunication channels; transient response; white noise; Fisher information matrix; asymptotically optimum method; blind identification; channel identifiability conditions; colored sequences; fast maximum likelihood estimation; fast maximum likelihood method; high SNR; input sequence; multiple FIR channels; non-Gaussian sequences; nonstationary sequences; orthogonal complement system matrix; quadratic function; two-step maximum likelihood method; white Gaussian noise; Covariance matrix; Finite impulse response filter; Higher order statistics; Image restoration; Iterative algorithms; Maximum likelihood estimation; Mobile communication; Signal analysis; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1994. 1994 Conference Record of the Twenty-Eighth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-6405-3
Type :
conf
DOI :
10.1109/ACSSC.1994.471487
Filename :
471487
Link To Document :
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