[1]王京 于舒娟.模拟退火混沌粒子群算法的盲检测[J].计算机技术与发展,2011,(01):35-37.
　WANG Jing,YU Shu-juan.Blind Detection Based on Simulated Annealing Chaotic Particle Swarm Optimization[J].,2011,(01):35-37.
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模拟退火混沌粒子群算法的盲检测()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年01期
页码:
35-37
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Blind Detection Based on Simulated Annealing Chaotic Particle Swarm Optimization
文章编号:
1673-629X（2011）01-0035-03
作者:
王京 于舒娟
南京邮电大学电子科学与工程学院
Author(s):
WANG Jing;  YU Shu-juan
Department of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications
关键词:
盲均衡; 盲检测; 模拟退火; 粒子群; 混沌
Keywords:
blind equalization ;  blind detection ;  simulated annealing ;  particle swarm optimization ;  chaotic
分类号:
TP18
文献标志码:
A
摘要:
考虑到基本粒子群算法在初始化时具有盲目性，收敛速度慢，在进化过程中会出现早熟现象，文中给出了MIMO系统的盲均衡模型，在对基本粒子群优化算法的MIMO系统盲检测研究基础上，分别引入了模拟退火机制和混沌机制，据此基础上提出一种改进的算法：基于模拟退火混沌粒子群优化的盲检测算法，并对这几种算法和改进算法的性能进行仿真。仿真结果表明，改进算法具有全局收敛性好、收敛速度快、误码率低的优点，能够很好地解决盲检测盲均衡问题
Abstract:
Considering the blindness and slow convergence when initialized the basic particle swarm optimization, and exiting early-maturing in the process of evolution,in this paper,an MIMO system blind equalization model was given. Using the MIMO system blind detection based on particle swarm optimization algorithm, simulated annealing mechanism and chaotic mechanism were introduced, whereby the basis raised an improved algorithm： MIMO system blind detection based on simulated annealing and chaotic particle swarm optimization. Several algorithms and this improved algorithm were simulated. Simulation results show that the improved algorithm has good global convergence, convergence speed, the advantages of low bit error rate. It＇ s a good solution to solve blind detection and blind equalization

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备注/Memo

备注/Memo:
国家自然科学基金（60772060）王京（1984－），男，安徽霍邱人，硕士研究生，研究方向为盲均衡和智能算法；于舒娟，副教授，从事智能信号处理和盲均衡方面研究
更新日期/Last Update: 1900-01-01