REDUCED COMPLEXITY MAXIMUM LIKELIHOOD DECODING OF LINEAR BLOCK CODES

被引：0
|
作者：
Elengical, S. M. [1 ]
Takawira, F. [1 ]
Xu, H. [1 ]
机构：
[1] Univ KwaZulu Natal, Sch Elect Elect & Comp Engn, Howard Coll Campus,King George V Ave, ZA-4041 Durban, South Africa
来源：
SAIEE AFRICA RESEARCH JOURNAL | 2006年 / 97卷 / 02期
关键词：
MLD Decoding; Reduced Complexity Decoding; Linear Block Codes;
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：
This paper proposes a reduced complexity Maximum-Likelihood (ML) decoding Algorithm for Linear Block Codes based on the Kaneko decoder and incorporating ruling out conditions for useless iteration steps. The proposed decoding scheme is evaluated over the Additive White Gaussian Noise (AGWN) channel using Binary Phase Shift Key (BPSK) signalling by simulation. Simulations results show that for negligible performance loss, there is significant reduction in the complexity of decoding.
引用
收藏
页码：136 / 139
页数：4
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