[1]汪金伟 于舒娟 张昀.基于改进蚁群优化的盲均衡算法研究[J].计算机技术与发展,2012,(04):141-143.
　WANG Jin-wei,YU Shu-juan,ZHANG Yun.Research of Blind Equalization Algorithm Based on Improved Ant Colony Optimization[J].,2012,(04):141-143.
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基于改进蚁群优化的盲均衡算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年04期
页码:
141-143
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research of Blind Equalization Algorithm Based on Improved Ant Colony Optimization
文章编号:
1673-629X（2012）04-0141-03
作者:
汪金伟 于舒娟 张昀
南京邮电大学电子科学与工程学院
Author(s):
WANG Jin-wei; YU Shu-juan; ZHANG Yun
College of Electronic Sci.and Eng.,Nanjing Univ.of Posts and Telecommunications
关键词:
蚁群算法; 盲均衡; 盲检测
Keywords:
improved ant colony algorithm;  blind equalization;  blind detection
分类号:
TP301.6
文献标志码:
A
摘要:
基本蚁群优化算法在信号的盲均衡处理中存在收敛速度慢、容易陷入局部最小的缺点。为了解决基本蚁群算法所存在的不足,文是通过修正基本蚁群算法的转移概率公式给出一种改进的蚁群优化盲均衡算法,建立了基于改进蚁群优化算法的SIMO系统盲检测模型,并对基于基本蚁群优化盲均衡算法和改进蚁群优化的盲均衡算法性能进行仿真。仿真分析结果表明,文中提出的改进算法能很好地恢复出未知的发送信号,同时提高了计算效率和加快了收敛速度,表现出了优于文献算法的良好性能
Abstract:
The basic ant colony optimization algorithm for the blind signal processing exits the shortcoming of slow convergence and easily falls into local minimum.To solve this problem,improved ant colony optimization algorithm is proposed by modifying the transition probability formula and SIMO system blind on detection model based on improving ant colony optimization algorithm is established,and simulate the performance of the basic and improved colony optimization blind equalization algorithm.The researched results show that the improved algorithm can be good to restore the unknown sent signals,improves computational efficiency and accelerates the convergence rate.It shows better performance than the literature algorithm

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备注/Memo

备注/Memo:
国家自然科学基金（60772060）汪金伟（1986-），女，硕士，研究方向为通信系统与信号处理；于舒娟，副教授，硕士生导师，研究方向为通信系统与信号处理
更新日期/Last Update: 1900-01-01