High Precision Positioning Algorithm Based On AOA Information

Due to the block of satellite signal by buildings,the positioning performance of the satellite positioning system is unsatisfactory in;indoor scenarios.Therefore,how to realize high precision indoor positioning has been widely concerned by the academic and industrial circles.Based on the specific signal characteristic parameters,the indoor positioning algorithms usually utilizes the anchors with known positions to estimate the targets’ locations.Common signal characteristic parameters include signal time of arrival,signal time difference of arrival and signal angle of arrival.Due to the development of multi-antenna technology,the positioning algorithm based on signal angle of arrival has become a trend.However,due to the complexity of indoor environment and the existence of multiple obstacles,there exists multipath propagation in indoor scenarios.Multipath propagation makes it difficult to obtain the AOA information of the line-of-sight path between the target and the anchor from the received signal.Because the AOA information of other path signal components will interfere with the estimation of the line-ofsight AOA information,which will reduce the estimation accuracy of the existing AOA estimation algorithm,making the performance of the positioning algorithm worse.Moreover,due to the complex structure of the antenna array,the algorithm complexity of the existing AOA estimation algorithm is high,which reduces the real-time performance of the positioning algorithm.This paper studies the high-precision positioning algorithm based on AOA information.The main research contents and achievements of this paper are as follow:1)Aiming at how to improve the location accuracy of AOA positioning algorithm,the AOA positioning algorithm based on the joint angle and delay estimation multiple signal classification(JADE MUSIC)algorithm is studied.The performance of the JADE MUSIC algorithm is analyzed and a novel AOA positioning algorithm aided by location reliability prior information is proposed.Simulation results show that the proposed algorithm can improve the location accuracy.2)In order to reduce the complexity of the AOA positioning algorithm,the AOA positioning algorithm based on the extended kalman filter(EKF)is studied.An iterative estimation algorithm for AOA estimation is proposed.Simulation results show that the positioning accuracy of this algorithm is comparable to that of EKF,but the complexity of this algorithm is obviously lower than that of EKF.