Comparison of LDPC decoding algorithms with and without estimation of noise variance

  • Authors:
  • Changzheng Ma;Boon Poh Ng

  • Affiliations:
  • Zhongyuan Institute of Technology, Zhengzhou, China;Nanyang Technological University, Singapore

  • Venue:
  • Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
  • Year:
  • 2006

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Abstract

The original sum product algorithms (SPA) of LDPC decoding in AWGN channel require the knowledge of noise variance. Mini-sum algorithm need not the variance estimation but has performance degradation. If the assumed noise variance of SPA algorithm deviates largely from the true value, the performance also degrade seriously. In this paper, an iterative noise variance estimation algorithm using the decoded data is presented. The true noise variance is then substituted by the estimated one. The computational load is analyzed. Performance difference between SPA, Mini-sum algorithm and our algorithm are compared by simulations.