舰船电子工程Issue(12)：44-46,158,4.DOI:10.3969/j.issn.1672-9730.2015.12.012
基于 RPROP 神经网络的多模盲均衡算法研究
Research on Multi-modulus Blind Equalization Algorithm Based on RPROP Neural Network
摘要
Abstract
Aiming at the problem of traditional blind equalization algrithm's high computation and slow convergence , considering the advantages of resilient back‐propagation(RPROP) Neural Network's low computation and quick convergence , a kind of Multi‐modulus Blind Equalization algorithm based on RPROP neural network is proposed .By using Matlab ,consid‐ering 16QAM and 16PSK signals as input source ,the equalization's effects are studied .The result of simulation indicates that this algorithm can efficiently eliminate the intersymbol interference and reduce time of convergence .And it meets the ex‐pectations .关键词
盲均衡/多模算法/RPROP/神经网络Key words
blind equalization/multi-modulus algorithm/Resilient Back-propagation/neural network分类
信息技术与安全科学引用本文复制引用
吕大千,何俊,李柔刚..基于 RPROP 神经网络的多模盲均衡算法研究[J].舰船电子工程,2015,(12):44-46,158,4.
