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Fast Min-Sum Algorithms for Decoding of LDPC over GF(q)

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4 Author(s)
Xiaofei Huang ; Sch. of Inf. Sci. & Technol., Tsinghua Univ., Beijing ; Suquan Ding ; Zhixing Yang ; Wu, Y.

In this paper, we present a fast min-sum algorithm for decoding LDPC codes over GF(q). Our algorithm is different from the one presented by David Declercq and Marc Fossorier (2005) only at the way of speeding up the horizontal scan in the min-sum algorithm. The Declercq and Fossorier's algorithm speeds up the computation by reducing the number of configurations, while our algorithm uses the dynamic programming instead. Compared with the configuration reduction algorithm, the dynamic programming one is simpler at the design stage because it has less parameters to tune. Furthermore, it does not have the performance degradation problem caused by the configuration reduction because it searches the whole configuration space efficiently through dynamic programming. Both algorithms have the same level of complexity and use simple operations which are suitable for hardware implementations

Published in:

Information Theory Workshop, 2006. ITW '06 Chengdu. IEEE

Date of Conference:

22-26 Oct. 2006