DocumentCode :
1496234
Title :
A Factor-Graph-Based TOA Location Estimator
Author :
Jhi, Hwa-lu ; Chen, Jung-Chieh ; Lin, Chih-Hung ; Huang, Chin-Tseng
Author_Institution :
Dept. & Inst. of Electr. Eng., Minghsin Univ. of Sci. & Technol., Hsinchu, Taiwan
Volume :
11
Issue :
5
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
1764
Lastpage :
1773
Abstract :
A high-accuracy and low-complexity TOA-based algorithm is proposed to estimate mobile station (MS) location. First, a factor-graph-based distributive approach is used, which can work in a multi-state system as well. By effectively exchanging the available soft-information or stochastic property of the variables, this distributive approach can perform almost as well as conventional algorithm while requiring much less computational workload. Second, data screening method was applied to reduce complexity and data discrimination to improve accuracy. Simulation results demonstrate that this approach can maintain good accuracy while achieving low complexity. Since this approach is accurate and easy to implement, it will better satisfy the demands of real applications.
Keywords :
mobile radio; stochastic processes; time-of-arrival estimation; data screening method; factor-graph-based time-of-arrival location estimator; mobile station location estimation; multi-state system; stochastic property; Accuracy; Equations; Kalman filters; Mathematical model; Noise measurement; Smoothing methods; Vectors; Kalman filter; TOA; data discrimination; data screening; extended Kalman filter; factor graph; location tracking; soft-information; sum-product algorithm;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2012.040412.110520
Filename :
6184261
Link To Document :
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