Mobile Location Estimator in Mixed LOS/NLOS Conditions Using UKF Banks

Author

Tao Ding ; Chen Liang ; Wu Lenan

Author_Institution

Sch. of Inf. Sci. & Eng., Southeast Univ. Nanjing, Nanjing, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

In wireless mobile location systems, NLOS problem has been considered as the key issue that affects the estimation accuracy. In this paper, mobile location in a mixed line-of-sight/non-line-of-sight (LOS/NLOS) condition is considered, and a NLOS error mitigation technique is proposed, which utilizes unscented Kalman filter (UKF) to jointly estimate mobile state and the hidden sight state based on the data collected by each BS. In addition, data fusion method is further applied to achieve high estimation accuracy. Simulation results demonstrate that the performance of the proposed method meet the requirement of the FCC E911 in different LOS/NLOS conditions.

Keywords

Kalman filters; mobile radio; sensor fusion; NLOS error mitigation; UKF banks; data fusion; mobile location estimator; mobile state estimation; nonline-of-sight condition; unscented Kalman filter; wireless mobile location system; Angular velocity; Base stations; Coordinate measuring machines; Density measurement; FCC; Information science; Land mobile radio cellular systems; Noise measurement; Nonlinear equations; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3692-7

Electronic_ISBN

978-1-4244-3693-4

Type

conf

DOI

10.1109/WICOM.2009.5302390

Filename

5302390