Hybrid Linear Programming Based Decoding Algorithm for LDPC Codes

被引:0
|
作者
Ngatched, Telex Magloire Nkouatchah [1 ]
Alfa, Attahiru Sule [1 ]
Cai, Jun [1 ]
机构
[1] Univ Manitoba, Dept Elect & Comp Engn, Winnipeg, MB R3T 5V6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Belief propagation (BP) algorithm; convex optimization; low-density parity-check (LDPC) codes; finite geometries; interior point algorithm; weighted bit-flipping (WBF); algorithm; PARITY-CHECK CODES; DESIGN;
D O I
10.1109/TCOMM.2011.011811.090638
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a hybrid decoding algorithm for low-density parity-check (LDPC) codes based on the interior point method with barrier function for linear programming (LP) decoding introduced by Wadayama [16]. First, an efficient implementation of Wadayama's algorithm is presented. The main idea behind the modification is to approximate the barrier function for the fundamental polytope defining the code so that it contains only one linear constraint for each of the parity-check constraints. A two-stage hybrid decoding which combines the interior point decoding and a low-complexity decoding algorithm for LDPC codes is then proposed. Simulation results show that the approximations introduced in the proposed algorithms do not result in any performance degradation, while considerably reducing the decoding complexity and latency.
引用
收藏
页码:740 / 749
页数:10
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