GGD model of extrinsic information with dynamic parameter assignment for turbo decoder

被引：4
|
作者：
Yang, FF [1 ]
Le-Ngoc, T
机构：
[1] Nanjing Univ Aeronaut & Astronaut, Dept Elect Engn, Nanjing 210016, Peoples R China
[2] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2A7, Canada
来源：
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS | 2004年 / 3卷 / 05期
关键词：
turbo codes; extrinsic information; generalized Gaussian distribution (GGD); characteristic function;
D O I：
10.1109/TWC.2004.834700
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 letter proposes a strategy using a generalized Gaussian distribution (GGD) to characterize the extrinsic information generated from the constituent maximum a posteriori (MAP) decoders in order to improve the performance of an iterative turbo decoder for finite block lengths. A matching technique based on the measured moments and distance criterion is introduced to dynamically select the appropriate parameters of the GGD model for the extrinsic information in each iteration. The simulation results indicate that the proposed strategy can offer performance gain in medium block lengths over both additive white Gaussian noise and Rayleigh-fading channels.
引用
收藏
页码：1508 / 1513
页数：6
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