Constrained Optimization Models for Integrated Space-Time Interference Suppression in CDMA Systems and Their Neural Network Implementation

SONG Rong-fang; BI Guang-guo

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Constrained Optimization Models for Integrated Space-Time Interference Suppression in CDMA Systems and Their Neural Network Implementation

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- Constrained Optimization Models for Integrated Space-Time Interference Suppression in CDMA Systems and Their Neural Network Implementation
- Acta Electronica Sinica Vol. 29, Issue 4, Pages: 475-478(2001)
- 作者机构：
  
  1. 南京邮电学院通信工程系,南京,210003
  2. 东南大学无线电工程系,南京,210096
  3. 南京邮电学院通信工程系南京,210003
  4. 东南大学无线电工程系南京,210096
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.533
- Published：2001
- 稿件说明：
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SONG Rong-fang, BI Guang-guo. Constrained Optimization Models for Integrated Space-Time Interference Suppression in CDMA Systems and Their Neural Network Implementation[J]. Acta Electronica Sinica, 2001, 29(4): 475-478.
DOI：

SONG Rong-fang, BI Guang-guo. Constrained Optimization Models for Integrated Space-Time Interference Suppression in CDMA Systems and Their Neural Network Implementation[J]. Acta Electronica Sinica, 2001, 29(4): 475-478. DOI：

摘要

本文提出了CDMA系统中抑制多址干扰(MAI)和码片间干扰(ICI)的利用智能天线和RAKE接收相结合的时空综合干扰抑制器的约束优化模型

导出了迫零均衡条件

探讨了其神经网络实现问题

并对综合干扰抑制器的性能进行了分析.

Abstract

The constrained optimization models for integrated space-time interference suppression in CDMA systems are proposed in this paper.The models combine smart antenna and RAKE receiver together

and mitigate multiuser access interference (MAI) and interchip interference (ICI).The conditions of zero-forcing equalization are derived.Neural network implementation of the models is also studied.Finally

the performance of the suppressors is investigated.

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