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基于MS估計(jì)和迭代結(jié)構(gòu)的信源信道聯(lián)合解碼系統(tǒng)性能分析

周琳,  吳鎮(zhèn)揚(yáng)

周琳, 吳鎮(zhèn)揚(yáng). 基于MS估計(jì)和迭代結(jié)構(gòu)的信源信道聯(lián)合解碼系統(tǒng)性能分析[J]. 電子與信息學(xué)報(bào), 2006, 28(2): 257-261.
引用本文: 周琳, 吳鎮(zhèn)揚(yáng). 基于MS估計(jì)和迭代結(jié)構(gòu)的信源信道聯(lián)合解碼系統(tǒng)性能分析[J]. 電子與信息學(xué)報(bào), 2006, 28(2): 257-261.
Zhou Lin, Wu Zhen-yang. Performance Analysis of Joint Source-Channel Decoding Based on MS Estimation and Iterative Structure[J]. Journal of Electronics & Information Technology, 2006, 28(2): 257-261.
Citation: Zhou Lin, Wu Zhen-yang. Performance Analysis of Joint Source-Channel Decoding Based on MS Estimation and Iterative Structure[J]. Journal of Electronics & Information Technology, 2006, 28(2): 257-261.

基于MS估計(jì)和迭代結(jié)構(gòu)的信源信道聯(lián)合解碼系統(tǒng)性能分析

Performance Analysis of Joint Source-Channel Decoding Based on MS Estimation and Iterative Structure

  • 摘要: 該文對基于均方MS(Mean Square)誤差最小準(zhǔn)則估計(jì)的軟輸入信源解碼和基于信源參數(shù)特性及迭代結(jié)構(gòu)的維特比解碼兩種信源信道聯(lián)合解碼算法進(jìn)行分析，分別給出系統(tǒng)性能提高的影響因子，同時(shí)與信源信道獨(dú)立解碼算法相比較，并推導(dǎo)了聯(lián)合算法中的接收參數(shù)信噪比的提高幅度以及比特誤碼率的上限值，證明了聯(lián)合解碼算法的可行性和有效性。實(shí)驗(yàn)仿真結(jié)果表明了分析方法的正確性。
    Abstract: Based on structure of MS estimation soft-bit source decoding and iterative source-controlled channel decoding, this paper deduces the parameter SNR and BER upper bound for above joint source-channel decoding respectively, and gives the factors which determine the improvement of system performance. The result shows the feasibility of joint source-channel decoding algorithm. Also, simulation proves the validity of analysis process.
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  • Fingscheidt T, Vary P. Soft bit speech decoding: A new approach to error concealment [J]. IEEE Trans. on Speech and Audio Processing, 2001, 9(3): 240251. .[2]Adrat M, Heanel R, Vary P. On joint source-channel decoding for correlated source. In Proceedings of ICASSP-02[C], Orlando, Florida, USA, 2002, 3: 25052508. .[3]Fingscheidt T, Vary P. Robust speech decoding: A universal approach to bit error concealment. In Proceedings of ICASSP- 97[C], Munich, Germany, 1997, 3:16671670. .[4]Hagenauer J. Source-controlled channel decoding [J]. IEEE Trans. on Communications, 1995, 43(9):24492457. .[5]Veaux C, Scalart P, Gilloire A. Channel decoding using inter- andintra-correlation of source encoded frames. In Proceedings of Data Compression Conference-2000 [C], Snowbird, Utah, USA. 2000: 103.112.[6]Fingscheidt T, Hindelang T, Cox R V, et al.. Joint source-channel (de-)coding for mobile communications [J]. IEEE Trans. on Communications, 2002, 50(2): 200211. .[7]Xu W. Repeated joint source-channel decoding in a GSM system. In Proceedings of PIMRC 2000 [C], London, UK. 2000, 1: 241.245.[8]Cover T M. Thomas J A. Elements of Information Theory [M]. New York.[J].NY: John Wiley Sons.1991,:-
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出版歷程
  • 收稿日期:  2004-05-20
  • 修回日期:  2004-12-24
  • 刊出日期:  2006-02-19

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