电子学报 ›› 2001, Vol. 29 ›› Issue (4): 475-478.

• 论文 • 上一篇    下一篇

CDMA系统中时空综合干扰抑制的约束优化模型及其神经网络实现

宋荣方1,2, 毕光国2   

  1. 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
  • 收稿日期:1999-12-02 修回日期:2000-06-15 出版日期:2001-04-25 发布日期:2001-04-25

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

SONG Rong-fang1,2, BI Guang-guo2   

  1. 1. Department of Telecommunication Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;2. Department of Radio Engineering,Southeast University,Nanjing 210096,China
  • Received:1999-12-02 Revised:2000-06-15 Online:2001-04-25 Published:2001-04-25

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.

关键词: 码分多址, 干扰抑制, 智能天线, RAKE接收, 神经网络

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.

Key words: CDMA, interference suppression, smart antenna, RAKE reception, neural network

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