DocumentCode :
1890805
Title :
Combining iterative SOVA and Log-MAP algorithms for turbo decoding
Author :
Wu, Jinhong ; Vojcic, Branimir R.
Author_Institution :
Dept. of Electr. & Comput. Eng., George Washington Univ., Washington, DC
fYear :
2009
fDate :
18-20 March 2009
Firstpage :
420
Lastpage :
423
Abstract :
This paper considers combining the iterative soft output Viterbi algorithm (SOVA) and the logarithm maximum a posteriori (Log-MAP) algorithm for decoding turbo codes. We examine the differences between the two algorithms and discuss the suitability of combining both algorithms. In the proposed hybrid decoding scheme, frames are first applied with SOVA iterations with error detection for iteration termination. After a fixed maximum number of SOVA iterations, the erroneous frames are continued with Log-MAP iterations. In order to reduce the number of necessary Log-MAP iterations, the extrinsic soft output from the last SOVA iteration are selectively fed to the first Log-MAP iteration as initial a priori input. The benefit of this hybrid decoding scheme is that both the original low complexity by SOVA and the high performance by Log-MAP are well maintained.
Keywords :
Viterbi decoding; iterative decoding; maximum likelihood estimation; turbo codes; computational complexity; hybrid decoding scheme; iterative soft output Viterbi algorithm; logarithm maximum a posteriori algorithm; turbo decoding; Computer errors; Convergence; Error analysis; Error correction; Iterative algorithms; Iterative decoding; Signal to noise ratio; Turbo codes; Viterbi algorithm; Log-MAP; SOVA; complexity reduction; decoding convergence; turbo decoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-2733-8
Electronic_ISBN :
978-1-4244-2734-5
Type :
conf
DOI :
10.1109/CISS.2009.5054757
Filename :
5054757
Link To Document :
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