NDLI: Sequence detection and adaptive channel estimation for ISI channels under class-a impulsive noise

Content Provider	IEEE Xplore Digital Library
Author	Schober, R. Lampe, L.
Copyright Year	1972
Abstract	In this paper, sequence detection and channel estimation for frequency-selective, intersymbol interference (ISI)-producing channels under Class-A impulsive noise are considered. We introduce a novel suboptimum sequence detection (SSD) scheme and show that although SSD employs a simplified metric, it achieves practically the same performance as maximum-likelihood sequence detection (MLSD). For both SSD and MLSD, a lower bound on the achievable performance is derived, which is similar to the classical matched-filter bound for frequency-selective (fading) channels under Gaussian noise. For channel estimation, we adopt a minimum entropy criterion and derive efficient least-mean-entropy and recursive least-entropy algorithms. For both adaptive algorithms, we analyze the steady-state channel-estimation error variance. Theoretical considerations and simulation results show that in Class-A impulsive noise, the proposed sequence detection and adaptive channel-estimation schemes yield significant performance gains over their respective conventional counterparts (designed for Gaussian noise). Although the novel algorithms require knowledge of the Class-A noise-model parameters, their computational complexity is comparable to that of the corresponding conventional algorithms.
Starting Page	1523
Ending Page	1531
Page Count	9
File Size	562130
File Format	PDF
ISSN	00906778
Volume Number	52
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Intersymbol interference Gaussian noise Frequency estimation Maximum likelihood detection Maximum likelihood estimation Fading Entropy Adaptive algorithm Analysis of variance
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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