IMPROVING THE ACCURACY OF INDOOR LOCALIZATION USING APPROACH AOA COMBINED THE KALMAN FILTER FOR MASSIVE MIMO SYSTEM

Authors

  • Duong Thi Hang Faculty of Electronics, VNU University of Engineering and Technology

Keywords:

Indoor positioning System; Massive MIMO; Angle Of Arrival; Kalman Filter; Combined AOA and Kalman Filter; NLOS.

Abstract

 In this paper, an efficient improving the accuracy approach of indoor positioning, which is based on AOA combined with a Kalman filter has been proposed. The proposed approach is able to improve positioning accuracy in indoor environments with high accuracy. Two scenarios are created to test the performance of the proposed approach. In the first scenario when the transmission environment has a LOS (Line Of Sight) path and NLOS path, in the second scenario the environment has only the NLOS (Non - Line Of Sight) path because the LOS paths are attenuated. The simulation results show that the proposed approach achieves higher accuracy than the traditional AOA based positioning method. In particular, when the error is less than 2m and the environment has NLOS, the proposed algorithm achieves 20% higher accuracy than the traditional AOA algorithm.

References

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Published

2021-02-25

How to Cite

[1]
H. Dương Thị, “IMPROVING THE ACCURACY OF INDOOR LOCALIZATION USING APPROACH AOA COMBINED THE KALMAN FILTER FOR MASSIVE MIMO SYSTEM”, JMST, no. 71, pp. 57-62, Feb. 2021.

Issue

Section

Articles