THE ML BEARING ESTIMATION BY USE OF NEURAL NETWORKS
基于神经网络的ML方向估计

A neural network to implement the maximum likelihood bearing estimation algorithm in real time is proposed. Both analysis and simulation show that this neural network is guaranteed to be stable and to provide the maximum likelihood bearing estimation within an elapsed time of only a few characteristic time constants of the network. As a result, this proposed neural network is satisfactory for real time bearing estimation.