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  • 标题:Performance Evaluation of Turbo Decoding Methods
  • 本地全文:下载
  • 作者:Steffi A Pereira
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:8
  • DOI:10.15680/ijircce.2015. 0308102 7568
  • 出版社:S&S Publications
  • 摘要:Turbo codes offer better performance when compared to convolutional codes at moderate BER and large block length. It works on the principle of efficient iterative decoding method. Turbo -codes were introduced to decrease the complexity of iterative turbo decoding while the p erformance of the system is close to Shannon capacity. Repeat Accumulate, Irregular Repeat Accumulate and Accumulate Repeat Accumulate codes are some o f the recently invented turbo-like code. Turbo codes are used in many important wireless protocols from deep-space communications to mobile communications. The objective of this project is to study the two prime candidates for decoding turbo codes, namely SOVA and Log-MAP decoding algorithms. Simulations are carried out using MATLAB software. BER performance evaluation of both Log-Map and SOV A turbo decoding algorithms are done. While doing this project, investigation was carried out on how various system parameters such as frame length, number of iterations, code rates etc. affects the performance of turbo codes using Log-Map and SOVA decoding algorithm
  • 关键词:Decoding Algorithms; turbo codes; SOVA; Log-Map; Viterbi Algorithm
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