关键词: 非视距, 到达角, 跟踪算法, 神经网络, 最小二乘法

Abstract: Based on Geometrically Based SingleBounce (GBSB) statistical channel model, a Angel of Arrival (AOA)-based location and tracking algorithm in Non-Line-Of-Sight (NLOS) environment for Mobile Station (MS) was proposed in this paper. The algorithm using Radical Basis Function (RBF) neural network was able to correct the NLOS errors, and then the positions of MS could be estimated by LeastSquare (LS) algorithm. Furthermore, cooperating with correlation detection gate, the MS was tracked by the algorithm. The simulation results show that the proposed algorithm can efficiently track the MS dynamically, and has good results.

Key words: Non-Line-Of-Sight (NLOS), Angel of Arrival (AOA), tracking algorithm, neural network, Least-Square(LS) algorithm