Survey of Blind Equalization Algorithms

被引:0
作者
Zhang Duan-jin [1 ]
Yang Lin [1 ]
Liu Na [1 ]
机构
[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450001, Peoples R China
来源
INTERNATIONAL CONFERENCE OF CHINA COMMUNICATION (ICCC2010) | 2010年
关键词
Blind equalization; Inter-symbol interference; Subspace; Survey; IDENTIFICATION;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Blind equalization has been attracting much attention in the field of communication signal processing, which can implement the channel equalization on the basis of received signal sequence without training sequence. Blind equalization technique can effectively overcome inter-symbol interference, and play a significant role in improving the quality of communication. The recently developed blind equalization algorithms are extensively reviewed, which include the artificial intelligence algorithm, signal detection algorithm, particle filter algorithm, wavelet transform algorithm, matrix decomposition algorithm and unified model algorithm. Performance analysis about the leading blind equalization algorithms is given, and open issues on blind equalization are also pointed out.
引用
收藏
页码:579 / 584
页数:6
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