Blind Separation of Non Ideal Co  Channel  Multi  User Digital Signals Using Antenna Array

Zhao Qing; Hu Bo; Ling Xieting

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Blind Separation of Non Ideal Co Channel Multi User Digital Signals Using Antenna Array

更新时间：2025-12-08

- Blind Separation of Non Ideal Co Channel Multi User Digital Signals Using Antenna Array
- Acta Electronica Sinica Issue 1, (1999)
- 作者机构：
  
  复旦大学电子工程系ＣＡＴ室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN911.72
- Published：1999
- 稿件说明：
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[1]赵青,胡波,凌燮亭.非理想信道多用户数字信号的盲分离[J].电子学报,1999(01):42-45.

Zhao Qing, Hu Bo, Ling Xieting. Blind Separation of Non Ideal Co Channel Multi User Digital Signals Using Antenna Array[J]. Acta Electronica Sinica, 1999, (1).
[1]赵青,胡波,凌燮亭.非理想信道多用户数字信号的盲分离[J].电子学报,1999(01):42-45. DOI：

Zhao Qing, Hu Bo, Ling Xieting. Blind Separation of Non Ideal Co Channel Multi User Digital Signals Using Antenna Array[J]. Acta Electronica Sinica, 1999, (1). DOI：

摘要

在一个信道上传送多个用户信号，可以大大提高信道的容量．本文讨论了非理想信道多用户数字信号的盲分离问题．利用天线阵，接收信号可以看作是由Ｎ个独立信号源激励的线性传输混合系统的输出；由于信道存在码间干扰，混合矩阵的元素不是常数，而是一个线性子系统．针对这一情况，本文提出了一个新的盲分离器结构，首先将接收信号进行盲分离，然后利用基于ＡＲ模型的盲均衡器消除每一路输出信号的码间干扰，从而实现多用户信号的分离．文中给出了盲分离器的神经网络学习算法，讨论了其稳定性及收敛性．模拟结果显示分离效果是令人满意的．

Abstract

Co channel transmission can dramatically increase channel capacity in wireless digital communication.In this paper

a recursive neural network is proposed for separating non ideal cochannel digital signals arriving at an antenna array.The received signals of the antenna array can be thought as the outputs of a linear mixing transmission system driven by N independent sources.Since the channels are not ideal

each element of the mixing array is a linear sub system instead of a constant.To recover the transmitted signals

the recursive neural network is used to realize signal separation and channel equalization.Learning algorithm of the neural network is presented and its stability is discussed.Simulation results demonstrate its good convergence property and anti noise performance in recovering both PAM and QAM signals.

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