Work in progress: A new algorithm to improve the decoding success probability of Raptor code
Huihui Li, Xiangying Li, Pei He, Shanqiang Yi, Dewei Yang, Huafeng Liu
Abstract
Huihui Li, Xiangying Li, Pei He, Shanqiang Yi, Dewei Yang, Huafeng Liu
Abstract
Raptor code is a kind of new fountain code which usually adopts belief propagation(BP) decoding algorithm. In order to improve the decoding success probability of Raptor code, this paper proposes two methods. On the one hand, we adopt a new construction method of check matrix for LDPC code, which can effectively avoid the girth of 4. On the other hand, we analyze and simulate the number of stopping set after BP decoding and propose a new decoding algorithm-the cascaded iterative algorithm based on the Ripple detection. Comparing our algorithm with BP, simulation results show that the proportion of encoded packages with degree 2, 3 in stopping set has decreased apparently and the success probability of Raptor decoding has improved.
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Raptor code is a kind of new fountain code which usually adopts belief propagation(BP) decoding algorithm. In order to improve the decoding success probability of Raptor code, this paper proposes two methods. On the one hand, we adopt a new construction method of check matrix for LDPC code, which can effectively avoid the girth of 4. On the other hand, we analyze and simulate the number of stopping set after BP decoding and propose a new decoding algorithm-the cascaded iterative algorithm based on the Ripple detection. Comparing our algorithm with BP, simulation results show that the proportion of encoded packages with degree 2, 3 in stopping set has decreased apparently and the success probability of Raptor decoding has improved.
Key concepts: Decoding methods, Computer science, Algorithm, Raptor code, Code (set theory), Sequential decoding, Fountain code, List decoding