Hybrid filter localization algorithm based on the selection mechanism

The localization is a key technology for wireless sensor network (WSN). In WSN area, the NLOS propagation phenomenon is ubiquitous and has a significant impact on the accuracy of localization algorithm. In this paper we propose a hybrid Extend Kalman and H-Infinity filter (HEKHF) method based on the selection mechanism. Firstly a selection mechanism is proposed to identify the LOS/NLOS conditions. Then we utilize the hybrid Extend Kalman and H-infinity filter to improve the localization accuracy. Finally we use linear least square algorithm to estimate the location. The simulation results show that the proposed method achieves higher localization accuracy than other methods in mixed LOS/NLOS environment.