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A Believable Factor and Kalman Filtering Based Mobile Localization Algorithm

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4 Author(s)
Shi Mingyang ; Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing ; Tao Xiaofeng ; Zhang Qing ; Han Xiao

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.

Published in:

Circuits and Systems for Communications, 2008. ICCSC 2008. 4th IEEE International Conference on

Date of Conference:

26-28 May 2008