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短波突发通信中自适应均衡算法研究
引用本文:张宏立,于宏毅,吴绍民.短波突发通信中自适应均衡算法研究[J].信息工程大学学报,2007,8(2):175-178.
作者姓名:张宏立  于宏毅  吴绍民
作者单位:1. 信息工程大学,信息工程学院,河南,郑州,450002
2. 信息工程大学,科研部,河南,郑州,450002
基金项目:国家自然科学基金;河南省自然科学基金
摘    要:针对短波突发通信的特点,对几种常用的自适应均衡算法进行了研究,并运用MATLAB工具对算法的性能进行了仿真比较。结果表明:LMS算法计算简单,收敛速度较慢;RLS算法计算量很大,收敛速度快,但对累积舍入误差敏感;平方根Kalman算法计算量较大,收敛速度快,对累积舍入误差不敏感。

关 键 词:短波突发通信  自适应均衡  LMS算法  RLS算法  平方根Kalman算法
文章编号:1671-0673(2007)02-0175-04
修稿时间:2006-11-072007-03-27

Research of Adaptive Equalization Algorithms for HF Burst-Mode Communication
ZHANG Hong-li,YU Hong-yi,WU Shao-min.Research of Adaptive Equalization Algorithms for HF Burst-Mode Communication[J].Journal of Information Engineering University,2007,8(2):175-178.
Authors:ZHANG Hong-li  YU Hong-yi  WU Shao-min
Affiliation:1. Institute of Information Engineering, Information Engineering University, Zhengzhou 450002, China;2. Department of R& D, Information Engineering University, Zhengzhou 450002, China
Abstract:The paper researched on several common algorithms of adaptive equalization based on the characters of HF burst-mode communication,and the performance of algorithms were simulated and compared by MATLAB.The result showed that LMS algorithm is simple but the speed of convergence is slower;the calculation of RLS algorithm is complex,speed of convergence is fast,but it is sensitive for the cumulate rounding errors;the calculation of Square Root Kalman algorithm is simpler than RLS algorithm,speed of convergence is fast,and is not sensitive to the cumulate rounding errors.
Keywords:HF instantaneous communication  adaptive equalization  LMS algorithm  RLS algorithm  square root Kalman algorithm
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