关键词: 分布式编码, 低密度校验码, 陪集分割, 高斯信源

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