Knowledge-based adaptive channel equalization

被引：0

作者：

Fan, J ^{[1
]}

Chen, YN ^{[1
]}

Liu, HH ^{[1
]}

机构：

[1] Beijing Inst Technol, Dept Informat & Commun Eng, Beijing 100081, Peoples R China

来源：

2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3 | 2004年

关键词：

knowledge-based adaptive filter; adaptive channel equalization; knowledge of known waveform; predictive error; convergent rate;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new method for adaptive channel equalization is presented, which is called Knowledge-Based Adaptive Filter (in short, NBA). Through the knowledge of known waveform is combined with adaptive filter technique by this method, slowly varied adaptive channel equalization is realized. Compared to the common adaptive equalizer based on predictive deconvolution, predictive error of output waveform from the equalizer and convergent rate of the adaptive filter are improved because the knowledge of known waveform is joined to NBA (knowledge-based adaptive filter). This paper conforms the validity of NBA method by the theory and the simulative results on computer.

引用

页码：423 / 427

页数：5