摘要
盲自适应多用户检测器只需知道期望用户的扩频码及定时信息 ,就可以实现对多址干扰的有效抑制。本文提出了一种基于 TH ( Tank and Hopfield)神经网络的盲多用户检测器 ,通过采用 TH神经网络来计算检测器的最优权值 ,从而提高了检测器的收敛速度。仿真实验的结果表明这一方法具有良好的多址干扰抑制能力。
A blind adaptive multi user detector can suppress multi user interference, but only requiring timing and signature waveform of desired user. A new blind multi user detector based on TH(tank and hopfield) neural network is introduced. The optimum detector is calculated by a TH neural network which leads a fast convergence. Simulation results show that the method proposed here has satisfactory near far resistant.
出处
《长春邮电学院学报》
2000年第4期10-15,共6页
Journal of Changchun Post and Telecommunication Institute
关键词
DS-CDMA
移动通信
神经网络
盲多用户检测器
CDMA(code division multiple access)
Detection units
Neural networks
Blind Multiuser Detector
Tank and Hopfield Neural Network
