DocumentCode
2334270
Title
SPC06-5: Turbo Equalization with Integrated SNR Estimation
Author
Talakoub, Shahram ; Shahrrava, Behnam
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Windsor, Windsor, ON
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
5
Abstract
We propose a turbo receiver structure with integrated SNR estimation for frequency selective channels. The proposed receiver is able to estimate the signal-to-noise ratio (SNR) and improve the estimation via iteration. Initially we exploit a subspace-based method to estimate the SNR. During the iterative process of equalization and decoding if the quality of the a posteriori information at the output of decoder improves, it is possible to utilize this information as an alternative to the original subspace method to mitigate any mismatch between the actual SNR and the estimated SNR at the receiver. A hypothesis testing criterion is introduced to decide whether or not this transition is beneficial in terms of the receiver performance. Simulation results demonstrate that our proposed receiver structure is able to yield a performance similar to that of the known SNR at the receiver.
Keywords
channel coding; equalisers; iterative decoding; maximum likelihood estimation; receivers; turbo codes; a posteriori information; decoding; frequency selective channels; hypothesis testing criterion; integrated SNR estimation; iterative process; signal-to-noise ratio; subspace-based method; turbo equalization; turbo receiver structure; Bit error rate; Degradation; Frequency estimation; Intersymbol interference; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Performance loss; Signal to noise ratio; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.566
Filename
4151196
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