A Hybrid Location Algorithm Based on BP Neural Networks for Mobile Position Estimation

In this paper, we propose an efficient hybrid location algorithm with BP neural networks. We choose two-layer backpropagation network for data fusions and position estimation to improve hybrid location accuracy and efficiency with TOA/TDOA/AOA parameters in mobile communication networks. So the position estimation can be optimized by network parallel processing robustly, and the inaccuracy or fuzzy problem produced by conventional location algorithm can be overcome effectively. In the paper, the model of the data fusion with multi-parameters of TOA/TDOA/AOA is set up to optimize network hybrid location configuration, The Simulation results show that the algorithm with BP neural networks can work effectively.