兵工自动化Issue(11)：71-72,76,3.DOI:10.7690/bgzdh.2013.11.019
一种改进的双极性训练序列时域均衡LMS算法
An Improved Time Domain Equalization LMS Algorithm for Bipolar Training Sequence
刘昌锦 1韦哲1
作者信息
- 1. 解放军陆军军官学院防空兵系，合肥 230031
- 折叠
摘要
Abstract
In order to solve the problem about mitigation ISI, according to the disadvantage of least mean square (LMS) Algorithm in range of error prediction, choice of step size and power adaptation, a new forward prediction-decision algorithm is proposed. ARMA(p,q) model is built. The form of algorithm is derived from gradient prediction formula. Bit error rate (BER) and output signal power are set as standards of algorithm performance. Matlab simulation shows that the algorithm is suitable for bipolar sequence and tracking multipath channel, reduces BER and makes signal power will not decrease by noise annihilation.关键词
时域均衡/LMS算法/前向预测-判决算法Key words
time domain equalization/LMS Algorithm/forward prediction-decision algorithm分类
军事科技引用本文复制引用
刘昌锦,韦哲..一种改进的双极性训练序列时域均衡LMS算法[J].兵工自动化,2013,(11):71-72,76,3.
