Hybrid location algorithm with high accuracy in indoor environment

In order to improve the location accuracy, aiming at the noise deviation and NLOS bias in indoor positioning, an improved hybrid location algorithm is presented. The residuals of measured data are utilized to identify the node of LOS path and the node of NLOS path. As for the node of LOS path, wavelet threshold de-noising method is used to eliminate the noise deviation. As for the node of NLOS path, Wylie method is used to eliminate the NLOS bias. In the end, Chan algorithm is used to estimate the location. Simulation results show that the hybrid location algorithm effectively eliminates the location error and obviously improves the location accuracy.