Research on hybrid location algorithm with high accuracy in indoor environment

An improved hybrid algorithm is developed for the accurate indoor location to eliminate the noise deviation and NLOS (nonline-of-sight) bias. The measured data of residuals are used for the identification of the node paths. The wavelet threshold de-noising method is adapted for the node of LOS (line-of-sight) path to eliminate the noise deviation, and the Wylie method is used for the node of NLOS path to eliminate the NLOS bias. Simulation results show that the accuracy of the indoor location is improved by using the hybrid location algorithm.