DocumentCode :
998505
Title :
Reduced-Complexity BCJR Algorithm for Turbo Equalization
Author :
Fertonani, Dario ; Barbieri, Alan ; Colavolpe, Giulio
Author_Institution :
Parma Univ., Parma
Volume :
55
Issue :
12
fYear :
2007
Firstpage :
2279
Lastpage :
2287
Abstract :
We propose novel techniques to reduce the complexity of the well-known Bahl, Cocke, Jelinek, and Raviv (BCJR) algorithm when it is employed as a detection algorithm in turbo equalization schemes. In particular, by also considering an alternative formulation of the BCJR algorithm, which is more suitable than the original one for deriving reduced-complexity techniques, we describe three reduced-complexity algorithms, each of them particularly effective over one of the three different classes of channels affected by intersymbol interference (minimum-phase, maximum-phase, and mixed-phase channels). The proposed algorithms do not explore all paths on the trellis describing the channel memory, but they work only on the most promising ones, chosen according to the maximum a posteriori criterion. Moreover, some optimization techniques improving the effectiveness of the proposed solutions are described. Finally, we report the results of computer simulations showing the impressive performance of the proposed algorithms, and we compare them with other solutions in the literature.
Keywords :
equalisers; intersymbol interference; maximum likelihood estimation; optimisation; telecommunication channels; telecommunication computing; BCJR algorithm; intersymbol interference; maximum a posteriori criterion; reduced-complexity algorithms; turbo equalization; Algorithm design and analysis; Computer simulation; Convolutional codes; Decoding; Detection algorithms; Fading; Intersymbol interference; Iterative algorithms; Performance loss; Viterbi algorithm; Complexity reduction; intersymbol interference (ISI); maximum a posteriori (MAP) symbol detection; turbo equalization;
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2007.910638
Filename :
4395266
Link To Document :
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