Modified constant modulus algorithm based on bat algorithm

被引:6
|
作者
Xu, Tongtong [1 ]
Xiang, Zheng [1 ]
机构
[1] Xidian Univ, Dept Telecommun Engn, Xian 710071, Peoples R China
关键词
Wireless sensor communications; blind equalization; bat algorithm; weight vector; modified constant modulus algorithm; BLIND EQUALIZATION ALGORITHM; SWARM;
D O I
10.3233/JIFS-189709
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this work, modified constant modulus algorithm based on bat algorithm is proposed for wireless sensor communications systems. The bat algorithm is a swarm intelligence optimization algorithm, which mainly used to solve optimization problems. The proposed algorithm focused on modified constant modulus algorithm, which is also applicable to the constant modulus algorithm. The error function of blind equalization algorithm is used as the evaluation function of the bat algorithm, and then the initial value of the weight vector is calculated adaptively by the bat algorithm. Theoretical analysis is provided to illustrate that the proposed algorithm has a faster convergence speed than the original one and is suitable for almost all blind channel equalization algorithms. The simulation results support the newly proposed improved algorithm. The proposed algorithm could be applied to some more complex wireless channel environments to improve the reception performance of sensor communication systems.
引用
收藏
页码:4493 / 4500
页数:8
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