DocumentCode
903864
Title
Decision feedback sequence estimation for continuous phase modulation on a linear multipath channel
Author
Guren, Hans C. ; Holte, Nils
Author_Institution
ABB Corp. Res., Billingstadsletta, Norway
Volume
41
Issue
2
fYear
1993
fDate
2/1/1993 12:00:00 AM
Firstpage
280
Lastpage
284
Abstract
An approach to reduced-complexity detection of partial response continuous phase modulation (CPM) on a linear multipath channel is presented. The method, referred to as decision feedback sequence estimation (DFSE), is based on a conventional Viterbi algorithm (VA) using a reduced-state trellis combined with decision feedback (DF). By varying the number of states in the VA, the receiver structure can be changed gradually from a DF receiver to the optimal maximum-likelihood sequence estimator (MLSE). In this way different tradeoffs between performance and complexity can be obtained. Results on the receiver performance, based on minimum distance calculations and bit error rate simulations, are given for Gaussian minimum-shift keying modulation on typical mobile radio channels. It is shown that for channels with a long memory, a significant complexity reduction can be achieved at the cost of a moderate degradation in performance
Keywords
demodulation; minimum shift keying; mobile radio systems; phase modulation; signal detection; telecommunication channels; CPM; DFSE; GMSK modulation; Gaussian minimum-shift keying; Viterbi algorithm; bit error rate; continuous phase modulation; decision feedback sequence estimation; linear multipath channel; maximum-likelihood sequence estimator; minimum distance calculations; mobile radio channels; receiver structure; reduced-complexity detection; reduced-state trellis; Continuous phase modulation; Feedback; Maximum likelihood detection; Maximum likelihood estimation; Multipath channels; Phase detection; Phase estimation; Receivers; State estimation; Viterbi algorithm;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/26.216498
Filename
216498
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