Integrated SINSWSN Positioning System for Indoor Mobile Target Using Novel Asynchronous Data Fusion Method
Joint Authors
Luo, Chengming
Li, Wei
Yang, Hai
Zhang, Jinyao
Si, Zhuoyin
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-07-20
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
According to the asynchronous transmission of data for the SINS/WSN integrated positioning system, this paper proposes a novel asynchronous data fusion method using Unscented Kalman Filter for SINS/WSN integrated positioning system based on indoor mobile target.
The state equation of the integrated system is built with the motion characteristic of mobile target.
The pseudo measurement equation is built based on the time sequence of SINS/WSN measured value through detecting the measurement of WSN in every fusion period.
Considering that the improved state-space model, comprised of the state equation and pseudo measurement equation, is the nonlinear equations, the Unscented Kalman Filter is applied to estimate the state value of the state-space model.
Hence the asynchronous data fusion method for SINS/WSN integrated positioning system can be achieved.
Simulation results and experimental tests show that the positioning system with proposed asynchronous data fusion algorithm performs feasibility and stability under circumstances of the asynchronous time, and it is superior to the traditional asynchronous data fusion and synchronous data fusion methods.
American Psychological Association (APA)
Yang, Hai& Li, Wei& Luo, Chengming& Zhang, Jinyao& Si, Zhuoyin. 2017. Integrated SINSWSN Positioning System for Indoor Mobile Target Using Novel Asynchronous Data Fusion Method. Journal of Sensors،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187406
Modern Language Association (MLA)
Yang, Hai…[et al.]. Integrated SINSWSN Positioning System for Indoor Mobile Target Using Novel Asynchronous Data Fusion Method. Journal of Sensors No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1187406
American Medical Association (AMA)
Yang, Hai& Li, Wei& Luo, Chengming& Zhang, Jinyao& Si, Zhuoyin. Integrated SINSWSN Positioning System for Indoor Mobile Target Using Novel Asynchronous Data Fusion Method. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1187406
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187406