Adaptive Equalizer Based on Complex Radial Basis Functions Networks

徐金标; 刘丰; 王育民

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Adaptive Equalizer Based on Complex Radial Basis Functions Networks

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- Adaptive Equalizer Based on Complex Radial Basis Functions Networks
- Acta Electronica Sinica Issue 1, Pages: 59-64(1998)
- 作者机构：
  
  1. 西安电子科技大学通信工程学院105教研室!西安
  2. 710071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1998
- 稿件说明：
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[1]徐金标,刘丰,王育民.基于复数径向基函数神经网络的自适应均衡器[J].电子学报,1998(01):59-64.

徐金标, 刘丰, 王育民. Adaptive Equalizer Based on Complex Radial Basis Functions Networks[J]. Acta Electronica Sinica, 1998, (1): 59-64.
[1]徐金标,刘丰,王育民.基于复数径向基函数神经网络的自适应均衡器[J].电子学报,1998(01):59-64. DOI：

徐金标, 刘丰, 王育民. Adaptive Equalizer Based on Complex Radial Basis Functions Networks[J]. Acta Electronica Sinica, 1998, (1): 59-64. DOI：

摘要

本文对基于复数径向基函数网络（CRBFN）的自适应均衡器作了研究；提出了两种新的复数径向基函数网络结构的均衡器：正交CRBFN（OCRBFN）均衡器与非对称CRBFN（ACRBFN）均衡器；并在此基础上提出了这两种自适应均衡器的训练算法．模拟结果表明对于线性信道或非线性信道这两种基于CRBFN均衡器的收敛性能比文献［2，5」中的均衡器优越，具有一定的实用价值．

Abstract

In this pape

the equalizrs based on complex radial basis function networks（CRBFN）were invcestigated and two new adaptive equalizers based on CRBFN（which are orthogonal CRBFN equalizer and asymmetric CRBFN equalizer） were also proposed which are different from those in Refs. [2

5]. Based on both the new CRBFNs

the training algorithm that adapts all be parameters of the network was presented. Computer simulation results show both the new CRBFN equalizers have better performanve than those in Refs. [2

5] when the channel is linear or nonlinear.

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