NDLI: Blind Equalization with Fractional Sampling Metric Combining for Avoiding Channel Estimate Ambiguity in Mobile Radio

Content Provider	IEEE Xplore Digital Library
Author	Kanno, I. Suzuki, H. Fukawa, K.
Copyright Year	2006
Description	Author affiliation: Tokyo Inst. of Technol. (Kanno, I.; Suzuki, H.; Fukawa, K.)
Abstract	This paper proposes a new blind adaptive equalizer based on maximum-likelihood sequence estimation (MLSE) for frequency selective mobile radio channels. A conventional blind MLSE equalizer with a single fractionally spaced transversal filter can cope with timing offset, but it suffers from a performance degradation due to the ambiguity of blind channel estimation. To avoid this ambiguity, this paper proposes a different type of fractional sampling in which separate symbol-spaced channel estimations are performed in the respective fractional sampling phases. The estimation employs a recursive form using the Moore-Penrose generalized inverse matrix. The equalizer combines the separate channel estimation errors, and provides the sum for the Viterbi algorithm processor as the branch metric, which tremendously reduces the probability that the correct solution is turned into an ambiguous false solution. Computer simulation demonstrates the effectiveness of the proposed equalizer on frequency selective fading channels
Sponsorship	IEEE COM
Starting Page	1
Ending Page	5
File Size	134954
Page Count	5
File Format	PDF
ISBN	1424403294
DOI	10.1109/PIMRC.2006.254429
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-11
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind equalizers Sampling methods Land mobile radio Maximum likelihood estimation Frequency estimation Channel estimation Adaptive equalizers Transversal filters Timing Degradation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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