Performance characteristics of parallel SOVA Algorithm

Turbo coding is a powerful encoding and decoding technique that can provide highly reliable data transmission at extremely low signal-to-noise ratio. According to the computational complexity/delay of the employed decoding algorithms, such as maximum a posteriori algorithm (MAP), log maximum a poste...

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Veröffentlicht in:I-Manager's Journal on Future Engineering and Technology Jg. 2; H. 3; S. 63 - 71
Hauptverfasser: Ruckmani, S.R, Anbalagan, P.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Nagercoil iManager Publications 01.02.2007
Schlagworte:
Algorithms
Complexity
Decoders
Decoding
Delay
Mathematical models
Signal to noise ratio
Tradeoffs
ISSN:0973-2632, 2230-7184
Online-Zugang:Volltext
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Zusammenfassung:Turbo coding is a powerful encoding and decoding technique that can provide highly reliable data transmission at extremely low signal-to-noise ratio. According to the computational complexity/delay of the employed decoding algorithms, such as maximum a posteriori algorithm (MAP), log maximum a posteriori algorithm (Log-MAP) and Soft Output Viterbi Algorithm (SOVA), the realization of turbo decoders usually takes a large amount of memory space and potentially long decoding delay. Therefore, an efficient method to reduce decoding complexity/delay becomes one of the key factors toward successfully designing turbo decoders. In this paper, reducing decoding complexity/delay of turbo decoding algorithms is approached by parallel SOVA (T-SOVA) scheme. The best schemes are presented for various variables considering trade-off between decoder performance and complexity. This method will reduce the decoding complexity/delay by at least 50% without big impact on the system performance.
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ISSN:0973-2632
2230-7184
DOI:10.26634/jfet.2.3.826