Study on Fuzzy Neural Network Classifier Blind Equalization Algorithm

摘要：

As a key technology in the digital communication system, blind equalization algorithm based on fuzzy neural network classifier is proposed. The algorithm overcomes bad judgment error. Channel estimation algorithm and fuzzy neural network classifier were combined to carry out equalization. The primary signal was attained by de-convolution. Judgment range of fuzzy neural network was adjusted dynamically by competition study algorithm, and then blind equalization judgment was realized. The algorithm reduces judgment error and bit-error ratio. The validity is approved by simulation.

关键词： Blind equalization Fuzzy neural network Channel estimation Classification algorithm

作者: Yunshan Sun Liyi Zhang Ting Liu Yanqin Li

作者单位: College of Information and Engineering Tianjin University of Commerce Tianjin Province, China College of Information and Engineering Taiyuan University of Technology Shanxi Province, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 595-599

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）