A Believable Factor and Kalman Filtering Based Mobile Localization Algorithm

One of important issues that deteriorate the accuracy of location is the non line of sight (NLOS) problem. This paper proposes an efficient NLOS mitigation algorithm based on Kalman filtering and believable factor to enhance the accuracy of localization. Simulation results show the proposed method can mitigate NLOS errors effectively and improve the localization accuracy in NLOS environment.