一种基于优化神经网络的最佳多用户检测器

An Optimum Multiuser Detector Based on Optimization Neural Network

基于优化理论和神经网络理论提出了一种优化神经网络最佳多用户检测器，将DS－CDMA通信中的多用户信号检测问题看作一种组合优化问题，利用神经网络能有效地求解优化问题的优势：推导了一种优化神经网络最佳多用户检测器，理论分析和计算结果表明：1）在误比特性能和抗多址干扰性能上这种检测器均优于传统检测器和解相关检测器；2）在抗"远近"干扰能力方面，这种检测器优于传统检测器而弱于解相关检测器；3）易于实时应用和VLSI实现。

According to the optimization theory and the neural network (NN) theory,an optimum multiuser detector (MUD) is proposed .The optimum MUD problem is taken as the combinatorial optimum problem .Using the neural network which has the ability of fast optimization computing,the optimization neural network MUD is derived. Theoretical analysis and numerical results show that in the aspect of biterror rate and multiple-access-interference, the optimum MUD is better than the conventional and decorrelated MUD, in aspect of 'near-far' resistance, the optimum MUD is better than the conventional MUD, and is worse than the decorrelated detector, and the optimum MUD can be easily implemented by VLSI technology.