复数域网络编码中最大似然解码算法的改进

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.%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.