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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| Vydáno v: | I-Manager's Journal on Future Engineering and Technology Ročník 2; číslo 3; s. 63 - 71 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Nagercoil
iManager Publications
01.02.2007
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| ISSN: | 0973-2632, 2230-7184 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Anbalagan, P. Ruckmani, S.R |
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| Cites_doi | 10.1109/49.661107 10.1109/ICC.1995.524253 10.1109/GLOCOM.1989.64230 10.1109/CTMC.1999.790235 10.1049/cp:20000064 10.1109/TCOMM.1994.582868 10.1109/26.649755 10.1007/978-1-4899-2174-1 10.1109/26.46522 10.1109/25.901892 10.1109/VETEC.1993.510966 10.1109/TIT.1974.1055186 10.1109/ICC.1993.397441 10.1109/18.485714 10.1145/313817.313836 |
| ContentType | Journal Article |
| Copyright | Copyright iManager Publications Feb-Apr 2007 |
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| CorporateAuthor | Research Scholar,Department of Electrical Engineering,Coimbatore Institute of Technology,Coimbatore ,India Faculty of Electrical Engineering,Coimbatore Institute of Technology ,Coimbatore ,India |
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| DOI | 10.26634/jfet.2.3.826 |
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| Snippet | Turbo coding is a powerful encoding and decoding technique that can provide highly reliable data transmission at extremely low signal-to-noise ratio. According... |
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| SubjectTerms | Algorithms Complexity Decoders Decoding Delay Mathematical models Signal to noise ratio Tradeoffs |
| Title | Performance characteristics of parallel SOVA Algorithm |
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