摘要
根据数字蜂房移动通信的信号传输过程建立了一种时变的FIR信道模型,在此模型基础上,研究了一种新的自适应均衡方法,它基于系统辨识原理,采用改进的归一化变步长最小均方误差(MNVSLMS)算法,克服由于多径效应引起的码间干扰(ISI).计算机模拟实验表明,本文提出的MNVS算法其跟踪性能明显优于NVS和传统的LMS算法,且运算量小,具有良好的实用性.
A time variant FIR channel model in terms of the process of digital cellular mobilecommunication is built,and a new equalization method on this model is presented. Based on thesystem identification principle,it adopts the Modified Normalized Variable Step(MNVS)Least MeanSquare (LMS)algorithm to reduce intersymbol interference(ISI)due to multipath.Simulation bycomputer indicates that the MNVS algorithm has better tracing ability than the NVS and theconventional LMS algorithms with small caiculation complexity and good practicability.
出处
《东南大学学报(自然科学版)》
EI
CAS
CSCD
1994年第1期25-30,共6页
Journal of Southeast University:Natural Science Edition
基金
江苏省科委基础应用研究课题
国家教委博士点基金
关键词
数字通信
移动通信
信道模型
digital communication
mobile communication
channel models
adaptive equalization