A sequence detector based on Hopfield Neural network(HNN) is presented, which is used to estimate the transmitted sequences from the received signals in mobile communications. In order to avoid the convergence of HNN ...A sequence detector based on Hopfield Neural network(HNN) is presented, which is used to estimate the transmitted sequences from the received signals in mobile communications. In order to avoid the convergence of HNN in local minima, a decreasing step algorithm (DSA) is proposed to search the optimum sequence quickly on the basis of the traditional simulated annealing (SA) algorithm. Computer simulation results show that the new HNN detector provides almost the same performance as that of the Viterbi detector while needs less computations and memory capacity, thus it is more feasible in hardware implementation and long constraint convolutional decoding.展开更多
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...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。展开更多
文摘A sequence detector based on Hopfield Neural network(HNN) is presented, which is used to estimate the transmitted sequences from the received signals in mobile communications. In order to avoid the convergence of HNN in local minima, a decreasing step algorithm (DSA) is proposed to search the optimum sequence quickly on the basis of the traditional simulated annealing (SA) algorithm. Computer simulation results show that the new HNN detector provides almost the same performance as that of the Viterbi detector while needs less computations and memory capacity, thus it is more feasible in hardware implementation and long constraint convolutional decoding.
文摘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。
