Journal of South China University of Technology (Natural Science Edition) ›› 2009, Vol. 37 ›› Issue (9): 42-46.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Distributed Source Coding Algorithm Based on Low-Density Parity-Check Code

Jiang Yan  Pan Wei-qiang  Ning Geng-xin  Wei Gang   

  1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, Guangdong, China
  • Received:2008-09-22 Revised:2008-11-10 Online:2009-09-25 Published:2009-09-25
  • Contact: 蒋燕（1973-），女，博士生，主要从事通信与信号处理研究． E-mail:jyan99@163．com
  • About author:蒋燕（1973-），女，博士生，主要从事通信与信号处理研究．
  • Supported by:

    国家自然科学基金资助项目（60625101）;困家自然科学青年基金资助项目（60502041）;广东省自然科学基金博士启动项目（07300583）

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Abstract:

In order to make full use of the correlations of sources in the information collection network,and to breakthrough the limitation of memory and computing capabilities of information-collecting equipment,a distributed source coding algorithm based on the low-density parity-check code（LDPC） is proposed,which transfers the co-ding complexity to the decoder and effectively reduces the source coding complexity without reducing the output quality of the decoder.The algorithm aims at Gaussian sources,implements with EDPC, and is based on the coset partition principle. Experimental results show that, as compared with Trellis and Turbo codes, the proposed algorithm is simpler and more intuitional, with obvious advantages in the case of low correlated signal-to-noise ratio, and that, at a symbol error rate of 10-3, the signal-to-noise ratios increase by about 3.0 -3.5 dB and 0. 7 dB, respectively.

Key words: distributed coding, low-density parity-check code, coset partition, Gaussian source