TDOA-Based Localization Using Interacting Multiple Model Estimator and Ultrasonic Transmitter/Receiver

被引:66
作者
Zhang, Rui [1 ]
Hoeflinger, Fabian [1 ]
Reindl, Leonhard [1 ]
机构
[1] Univ Freiburg, Dept Microsyst Engn, D-79110 Freiburg, Germany
关键词
Indoor localization; interacting multiple model (IMM); Kalman filter; M-estimator; time difference of arrival (TDOA); ultrasound; TRACKING;
D O I
10.1109/TIM.2013.2256713
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a novel indoor localization system using a self-built ultrasonic transmitter and a receiver. In comparison to commercial localization systems, our ultrasonic system is more robust against multipath propagation at indoor conditions and provides accurate time difference of arrival measurements. Besides, by improving the coverage of our ultrasonic system, the number of system components is significantly reduced. The actual position of the target is then determined by interacting multiple model estimator, which offers protection against the measurement noise at both line-of-sight and non-line-of-sight conditions through simultaneous running of extended Kalman filter and robust extended Kalman filter. The experimental results shows that our system is able to deliver the localization solution with higher accuracy compared to commercially available options.
引用
收藏
页码:2205 / 2214
页数:10
相关论文
共 33 条
[1]   A measurement method based on Kalman filtering for ultrasonic time-of-flight estimation [J].
Angrisani, L ;
Baccigalupi, A ;
Lo Moriello, RS .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2006, 55 (02) :442-448
[2]  
[Anonymous], P 12 IEEE INT S PERS
[3]  
[Anonymous], P INT IND POS IND NA
[4]  
[Anonymous], 95041 TR U N CAR CHA
[5]  
Bahl P., 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), P775, DOI 10.1109/INFCOM.2000.832252
[6]  
Bar-Shalom Y., 2004, Estimation with applications to tracking and navigation: Theory algorithms and software
[7]  
Dragunas K., 2010, Ubiquitous Positioning Indoor Navigation and Location Based Services (UPINLBS), P1
[8]   An Indoor Localization Framework for Four-Rotor Flying Robots Using Low-Power Sensor Nodes [J].
Eckert, Juergen ;
German, Reinhard ;
Dressler, Falko .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2011, 60 (02) :336-344
[9]  
Fox J, 2011, An {R} companion to applied regression, Vsecond
[10]  
Francine A., 2008, THESIS TU DARMSTADT