DocumentCode :
3207328
Title :
Blind channel estimation and MMSE equalization using Shalvi and Weinstein´s blind deconvolution criteria
Author :
Chi, Chong-Yung ; Feng, Chih-Chun
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fYear :
1999
fDate :
1999
Firstpage :
659
Abstract :
This paper proposes a novel noise-insensitive approach to blind channel estimation using Shalvi and Weinstein´s (1994) blind deconvolution criteria. It is based on the relation between the associated equalizer and the nonblind minimum mean square error (MMSE) equalizer reported by Feng, Hsi and Chi (1999). As a by-product, the design of the MMSE equalizer is also presented without training phase. The proposed approach and the designed MMSE equalizer are then justified through computer simulation
Keywords :
deconvolution; equalisers; estimation theory; least mean squares methods; MMSE equalization; Shalvi and Weinstein blind deconvolution criteria; blind channel estimation; design; noise-insensitive approach; training phase; Blind equalizers; Communication channels; Computer simulation; Convolution; Deconvolution; Fading; Noise measurement; Phase estimation; Phase noise; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
Conference_Location :
New Orleans, LA
ISSN :
1525-3511
Print_ISBN :
0-7803-5668-3
Type :
conf
DOI :
10.1109/WCNC.1999.796726
Filename :
796726
Link To Document :
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