Title :
A Believable Factor and Kalman Filtering Based Mobile Localization Algorithm
Author :
Mingyang, Shi ; Xiaofeng, Tao ; Qing, Zhang ; Xiao, Han
Author_Institution :
Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
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.
Keywords :
Kalman filters; filtering theory; mobility management (mobile radio); Kalman filtering; NLOS; believable factor; mobile localization algorithm; nonline-of-sight problem; Algorithm design and analysis; FCC; Filtering algorithms; Kalman filters; Measurement standards; Meteorology; Noise measurement; Time difference of arrival; Wireless communication; Working environment noise;
Conference_Titel :
Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1707-0
Electronic_ISBN :
978-1-4244-1708-7
DOI :
10.1109/ICCSC.2008.158
