DNA genetic bat algorithm based fractionally spaced multi-modulus algorithm

被引：0
|
作者：
Guo, Ye-Cai [1 ,2 ]
Wu, Hua-Peng [1 ]
Wang, Hui [1 ]
Zhang, Miao-Qing [1 ]
机构：
[1] School of Electronic & Information Engineering, Nanjing University of Information Science & Technology, Nanjing,Jiangsu,210044, China
[2] Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing,Jiangsu,210044, China
来源：
Binggong Xuebao/Acta Armamentarii | 2015年 / 36卷 / 08期
关键词：
Equalizers - Bioinformatics - Genetic algorithms - Mean square error;
D O I：
10.3969/j.issn.1000-1093.2015.08.018
中图分类号：
学科分类号：
摘要：
For the low convergence speed and large mean square error (MSE) of the existing multi-modulus algorithms(MMAs), a DNA genetic bat algorithm based fractionally spaced multi-modulus algorithm(DNA-GBA-FS-MMA) is proposed. In this proposed algorithm, the fractionally spaced equalizer is used to get more detail channel information via oversampling signals. DNA genetic algorithm is introduced into bat algorithm to obtain a new intelligent optimization algorithm, called as DNA genetic bat algorithm (DNA-GBA), and DNA-GBA is used to find the global optimal position vector of the bat swarm serving as the real and imaginary parts of the initial weight vector of multi-modulus algorithm. Simulation results show that DNA-GBA-FS-MMA has the smallest MSE, the fastest convergence speed, and the clearest and most compact constellation points in comparison with the existing multi-modulus algorithms(MMAs). © 2015, China Ordnance Society. All right reserved.
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页码：1502 / 1507
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