[1]蔡思捷 于舒娟 张昀.差分算法在盲均衡中的应用与研究[J].计算机技术与发展,2012,(06):64-67.
　CAI Si-jie,YU Shu-juan,ZHANG Yun.Application and Research of Differential Evolution in Blind Equalization[J].,2012,(06):64-67.
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差分算法在盲均衡中的应用与研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年06期
页码:
64-67
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Application and Research of Differential Evolution in Blind Equalization
文章编号:
1673-629X（2012）06-0064-04
作者:
蔡思捷 于舒娟 张昀
南京邮电大学电子科学与工程学院
Author(s):
CAI Si-jie; YU Shu-juan; ZHANG Yun
College of Electronic Science and Engineering, Nanjing University of Post and Telecommunication
关键词:
差分盲检测算法; 混沌算法; 盲均衡
Keywords:
differential blind detection algorithm;  chaos algorithm;  blind equalization
分类号:
TP301.6
文献标志码:
A
摘要:
文中给出了基于差分的盲检测算法,并进行了应用与研究,仿真表明差分盲检测算法具有较强的全局收敛能力和鲁棒性,但是易陷入局部最小值,收敛速度较慢,因此文中对差分盲检测算法做了进一步改进,从而得到改进的差分盲检测算法。改进的差分盲检测算法利用了混沌算法的初值敏感性、拓扑传递性、整体稳定性将其与差分盲检测算法相结合,在算法初始化种群时加入混沌扰动,寻找无规律中的有规律。仿真结果表明了改进算法加快了收敛速度,优化了算法性能
Abstract:
It gives the application and research of differential evolution in blind equalization, simulation shows that differential blind detection algorithm has strong global convergence and robustness,but easy to get into a local minimum and convergence is slow. Blind detection algorithm for differential was further improved in this article,resulting in improved differential blind detection algorithm. Differential blind detection algorithm uses the algorithm of pseudo random chaos, ergodicity,initial sensitivity, topological transitivity, overall stability,combining it with blind detection algorithm,adding chaos disturbance when the population is initialized,looking for irregular regular. Simulation results show that the impoved algorithm accelerates convergence speed and optimizes algorithm performance

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备注/Memo

备注/Memo:
国家自然科学基金（60772060）蔡思捷（1986-），女，硕士研究生，研究方向为无线通信系统中的信号处理技术于舒娟，副教授，研究方向为无线通信系统中的信号处理技术
更新日期/Last Update: 1900-01-01