期刊文献+

均场退火神经网络算法实现多用户检测

Implementation of Multi-user Detection Using Field Annealing NN Algorithm
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摘要 最优多用户检测的实质是求解一个组合优化问题,本文给出了基于均场退火算法的多用户检测器,并进行了仿真比较.仿真结果表明其对系统性能改进显著,便于硬件实现. In this paper, the application of the mean field annealing neural network to the multi-user detection is proposed. Simulation results show that the proposed detector offers significant performance gain compared to the conventional detector and decorrelating detector while it can be implemented easily by using hardware.
出处 《空军雷达学院学报》 2004年第2期56-58,共3页 Journal of Air Force Radar Academy
关键词 多用户检测 多址干扰 均场退火 神经网络(NN) multi-user detection multiple access interference mean field annealing neural network
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参考文献3

  • 1[2]Kechriotics G, Manolakos E S. Hopfield Neural Network Implementation of the Optimal CDMA Multi-user Detector [J]. IEEE Trans. Neural Networks, 1996,7(1).
  • 2[3]Sergio Verdu. Multiuser Detection [M]. UK: Cambridge University Press, 1998.
  • 3[4]Moshavi S, et al. Multi-User Detection for DC-CDMA Communications[J]. IEEE Commun. Mag, 1996,34(10).

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