IMPROVING THE ACCURACY OF INDOOR LOCALIZATION USING APPROACH AOA COMBINED THE KALMAN FILTER FOR MASSIVE MIMO SYSTEM
Keywords:Indoor positioning System; Massive MIMO; Angle Of Arrival; Kalman Filter; Combined AOA and Kalman Filter; NLOS.
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.
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