关键词: 跟踪算法, 遗传算法, 神经网络, 卡尔曼滤波器, 到达角度差

Abstract:

An Angel of Arrival (AOA) tracking algorithm based on genetic neural network is proposed in this paper.The genetic algorithm is able to correct the initial weights of Back Propagation (BP) neural network and then the Non-Line-Of-Sight (NLOS) errors can be corrected by the optimized GA-BP neural network.Furthermore,the positions of Moblie Station (MS) can be estimated by Least-Square (LS) algorithm combined with correlation detection gate,and the MS is tracked by the Kalman filter.The simulation results show that the algorithm performance is better than traditional BP neural network and LS algorithm in the dynamic state.

Key words: tracking algorithm;genetic algorithm;neural network;kalman filter;angel of arrival