DocumentCode :
933356
Title :
Adaptive iterative detection for the phase-uncertain channel: limited-tree-search versus truncated-memory detection
Author :
Ferrari, Gianluigi ; Anastasopoulos, Achilleas ; Colavolpe, Giulio ; Raheli, Riccardo
Author_Institution :
Dept. of Inf. Eng., Univ. of Parma, Italy
Volume :
53
Issue :
2
fYear :
2004
fDate :
3/1/2004 12:00:00 AM
Firstpage :
433
Lastpage :
442
Abstract :
In this paper, we consider iterative detection over bandpass channels that introduce an unknown phase rotation in the transmitted signal. This work focuses on the comparison between two adaptive detection strategies for trellis-based coded modulation: limited-tree-search (LTS) detection, obtained by reducing a tree search to a limited trellis search, and truncated-memory (TM) detection, based on channel-memory truncation, which automatically leads to a trellis search. Both strategies are used to derive trellis-based forward-backward (FB) algorithms. A quantitative analysis based on simulations, with various coding and modulation schemes, is carried out to evaluate and compare the two approaches. The results show that the channel-phase dynamics should significantly influence the choice of the detection strategy: For low-phase variations, LTS algorithms are a simple and reasonable choice, while for moderate to fast phase variations, TM algorithms show a considerable robustness.
Keywords :
iterative methods; parameter estimation; signal detection; telecommunication channels; tree searching; trellis coded modulation; turbo codes; adaptive iterative detection; bandpass channel; channel-memory truncation; channel-phase dynamics; decoding; limited-tree-search detection; parameter estimation; phase rotation; phase-uncertain channel; trellis-based coded modulation; trellis-based forward-backward algorithms; truncated memory detection; turbo codes; Analytical models; Associate members; Concatenated codes; Iterative algorithms; Iterative decoding; Modulation coding; Phase detection; Phase estimation; Robustness; Turbo codes;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2004.823532
Filename :
1275707
Link To Document :
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