电信科学 ›› 2011, Vol. 27 ›› Issue (12): 44-47.doi: 10.3969/j.issn.1000-0801.2011.12.013

• 研究与开发 • 上一篇    下一篇

复数域网络编码中最大似然解码算法的改进

袁涛,谢坚戈,鲍园,杨亮   

  1. 昏南大学信息科学技术学院 广州 510632
  • 出版日期:2011-12-15 发布日期:2011-12-15
  • 基金资助:
    国家自然科学基金资助项目;广东省科技计划基金资助项目;中央高校基本科研业务费专项资金资助项目;东南大学移动通信国家重点实验室开放研究基金资助课题

Improvement of Maximum Likelihood Decoding Algorithm in Complex Field Network Coding

Tao Yuan,Jiange Xie,Yuan Bao,Liang Yang   

  1. College of Information Science and Technology, Jinan University, Guangzhou 510632, China
  • Online:2011-12-15 Published:2011-12-15

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摘要：

针对复数域网络编码中继网络，提出一种改进的中继处的最大似然解码算法。当传统的最大似然解码算法使用在复数域网络编码中继网络中时，计算复杂度会随着信息星座图映射方式的改变而大大增加。为了降低计算复杂度，在前人研究的基础上提出一种改进的最大似然解码算法，该算法利用无线中继网络通信系统的非对称性，在解码时，先进行预判决，然后进行精确判决，这样可以大大降低计算复杂度，提高了系统性能。

关键词: 复数域网络编码, 最大似然解码, 无线中继网络

Abstract:

A modified maximum likelihood（ML）decoding algorithm was proposed at the relay for the complex field network coding（CFNC）in this paper. When the traditional maximum likelihood decoding algorithm is used in the complex field network coding in relay networks, computational complexity will greatly increase with the higher-order constellation mapping. In order to reduce computational complexity, we proposed a novel maximum likelihood algorithm based on the previous studies. We can use asymmetry of the wireless relay network, pre-judgment at the first, then accurate judgments, which can greatly reduce the computational complexity and improve the performance of the wireless relay network.

Key words: complex field network coding, maximum likelihood decoding, wireless relay network

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