DocumentCode :
1722491
Title :
Research on TDOA / AOA hybrid positioning system based on Kalman filtering
Author :
Guangqian, Chu ; Zuowei, Li ; Xiaohong, Wang ; Shiying, Shi ; Jianwen, He
Author_Institution :
Dept. of Inf. Sci. & Eng., Shandong Jiaotong Univ., Jinan, China
Volume :
2
fYear :
2010
Abstract :
Due to non-ideal channel environment, there are plenty of multi-path propagations and NLOS (Non- Line- Of-Sight) propagations between mobile stations and base stations in the cellular networks. All these factors will make the detection of error in measurement of signal characteristics, thus affecting the positioning accuracy. In order to improve the location accuracy of mobile station in the cellular network, two kinds of methods are used. One is to search for realistic channel environmental models for the line-of-sight and the non-line-of-sight propagations to study the characteristics of signal measurements error with good robustness of high-precision positioning algorithms. The other is to analyze the main cause of the different kinds of the measurement errors to find their solutions to decrease the errors.
Keywords :
Kalman filters; cellular radio; direction-of-arrival estimation; electromagnetic wave propagation; signal detection; time-of-arrival estimation; Kalman filtering; NLOS propagations; TDOA-AOA hybrid positioning system; base stations; cellular networks; high-precision positioning algorithms; mobile stations; multipath propagations; nonline-of-sight propagations; realistic channel environmental models; signal measurement error detection; Accuracy; Kalman filters; Mathematical model; Measurement errors; Measurement uncertainty; Mobile communication; Kalman filtering; TOA/AOA (key words); data fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
Type :
conf
DOI :
10.1109/ICSPS.2010.5555811
Filename :
5555811
Link To Document :
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