A Parallel Processing Approach for Fast Iterative Decoding of Orthogonal Convolutional Codes

被引：0
|
作者：
He, Yu-Cheng [1 ]
Haccoun, David [1 ]
Cardinal, Christian [1 ]
机构：
[1] Ecole Polytech, Dept Elect Engn, Montreal, PQ H3C 3A7, Canada
来源：
2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6 | 2006年
关键词：
belief propagation; iterative decoding; orthogonal convolutional codes; parallel processing;
D O I：
暂无
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：
An efficient parallel processing mode is proposed for the implementation of fast forward-only iterative belief propagation decoding of orthogonal convolutional codes based on one-step decoding. In the proposed parallel processing mode, the iterative decoding of orthogonal convolutional codes makes use of the complete set of orthogonal parity-check equations on each information symbol, thus avoiding the error performance loss. The proposed parallel processing allows the speed of iterative decoding to approach that of one-step decoding. Therefore, an advantageous tradeoff can be available between data rate and latency.
引用
收藏
页码：2499 / 2502
页数：4
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