基于DNA遗传蝙蝠算法的分数间隔多模盲均衡算法

doi:10.3969/j.issn.1000-1093.2015.08.018

兵工学报 ›› 2015, Vol. 36 ›› Issue (8): 1502-1507.doi: 10.3969/j.issn.1000-1093.2015.08.018

基于DNA遗传蝙蝠算法的分数间隔多模盲均衡算法

郭业才^1,2，吴华鹏¹，王惠¹，张苗青¹

(1.南京信息工程大学电子与信息工程学院江苏南京 210044;

收稿日期:2014-12-15 修回日期:2014-12-15 上线日期:2015-10-16
通讯作者: 郭业才 E-mail:guoyecai@163.com
作者简介:郭业才(1962—)，男，教授，博士生导师
基金资助:
全国优秀博士论文作者专项资金项目(200753)；江苏省高校自然科学基金重大项目(13KJA510001)；江苏科研成果产业化推进项目(JHB 2012-9)；江苏省高校 “信息与通信工程”优势学科建设工程项目；江苏省六大人才高峰项目(2008026)

DNA Genetic Bat Algorithm Based Fractionally Spaced Multi-modulus Algorithm

GUO Ye-cai^1,2, WU Hua-peng¹, WANG Hui¹, ZHANG Miao-qing¹

(1.School of Electronic ＆ Information Engineering, Nanjing University of Information Science ＆ Technology,Nanjing 210044,Jiangsu, China2.Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing 210044, Jiangsu, China)

Received:2014-12-15 Revised:2014-12-15 Online:2015-10-16
Contact: GUO Ye-cai E-mail:guoyecai@163.com

摘要/Abstract

摘要： 针对现有多模盲均算法(MMA)收敛速度较慢、均方误差大的缺陷，提出一种基于DNA遗传蝙蝠算法的分数间隔多模盲均衡算法(DNA-GBA-FS-MMA)。该算法利用分数间隔均衡器对信号进行过采样，以获取更多信道信息；将DNA遗传算法引入到蝙蝠算法中，得到一种DNA遗传蝙蝠算法(DNA-GBA)，利用这个新算法来寻找蝙蝠群的全局最优位置向量，并作为多模盲均衡算法初始化最优权向量的实部与虚部。仿真结果表明，与现有的MMA相比，DNA-GBA-FS-MMA 的稳态误差最小、收敛速度最快、星座点最清晰紧凑。

关键词: 信息处理技术, 分数间隔均衡器, 多模盲均衡算法, DNA遗传蝙蝠算法, 全局最优位置向量

Abstract: 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).

Key words: information processing technology, fractionally spaced equalizer, multi-modulus algorithm, DNA genetic bat algorithm , global optimal position vector

中图分类号:

TN911.2

郭业才，吴华鹏，王惠，张苗青. 基于DNA遗传蝙蝠算法的分数间隔多模盲均衡算法[J]. 兵工学报, 2015, 36(8): 1502-1507.

GUO Ye-cai, WU Hua-peng, WANG Hui, ZHANG Miao-qing. DNA Genetic Bat Algorithm Based Fractionally Spaced Multi-modulus Algorithm[J]. Acta Armamentarii, 2015, 36(8): 1502-1507.

参考文献

［1］ Yuan J T, Tsai K D. Analysis of the multimodulus blind equalization algorithm in QAM communication systems [J]. Communications， 2005, 53(9)： 1427-1431.
[2] Guo Ye-cai, Ding Xue-jie, Fan Kang. Fractionally spaced combining with spatial diversity blind equalization algorithm based on orthogonal wavelet transformation [C]∥Intelligent Computing and Cognitive Informatics.Kuala Lumpur: IEEE, 2010: 321-324.
[3] 郭业才.自适应盲均衡技术[M].合肥：合肥工业大学出版社，2007：113-140.
GUO Ye-cai. Adaptive blind equalization[M]. Hefei: Hefei University of Technology Press， 2007: 113-140.(in Chinese)
[4] 郭业才，张艳萍. 一种适用于高阶QAM信号的双模式多模盲均衡算法[J]. 系统仿真学报，2008，20(6)：1423-1426.
GUO Ye-cai, ZHANG Yan-ping. Dual-model multi-modulus blind equalization algorithm for high-order QAM signals[J]. Journal of System Simulation, 2008, 20(6): 1423-1426.(in Chinese)
[5] 郭业才，胡苓苓，丁锐.基于量子粒子群优化的正交小波加权多模盲均衡算法[J].物理学报，2012,61(5):054304.
GUO Ye-cai, HU Ling-ling, DING Rui. Orthogonal wavelet transform weighted multi-modulus blind equalization algorithm based on quantum particle swarm optimization[J]. Acta Physica Sinica, 2012, 61(5): 054304.(in Chinese)
[6] Yang Xin-she. Nature-inspired metaheuristic algorithms[M]. 2nd ed. Frome, UK: Luniver Press， 2010: 97-104.
[7] Yang Xin-she. A new bat-inspired metaheuristic algorithm [M]. Nature Inspired Cooperative Strategies for Optimization. Berlin: Springer， 2010: 65-74.
[8] 戴侃. DNA遗传算法及在化工过程中的应用[D]. 杭州：浙江大学，2012.
DAI Kan. DNA genetic algorithms and applications in chemical processes[D]. Hangzhou: Zhejiang University, 2012.(in Chinese)
[9] 陈霄，王宁. 基于混沌DNA遗传算法的模糊递归神经网络建模 [J]. 控制理论与应用，2011，28(11)：1589-1594.
CHEN Xiao, WANG Ning. Fuzzy recurrent neural network modeling based on chaos DNA genetic algorithm[J]. Control Theory & Applications, 2011, 28(11): 1589-1594.(in Chinese)
[10] 陈霄. DNA遗传算法及应用研究[D]. 杭州：浙江大学，2010.
CHEN Xiao. Research on DNA genetic algorithms and applications[D]. Hangzhou: Zhejiang University, 2010.(in Chinese)

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基于DNA遗传蝙蝠算法的分数间隔多模盲均衡算法

DNA Genetic Bat Algorithm Based Fractionally Spaced Multi-modulus Algorithm

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