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Motion Restricted Information Filter for Indoor Bluetooth Positioning

Motion Restricted Information Filter for Indoor Bluetooth Positioning

Liang Chen, Heidi Kuusniemi, Yuwei Chen, Ling Pei, Tuomo Kröger, Ruizhi Chen
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 13
ISSN: 1947-3176|EISSN: 1947-3184|EISBN13: 9781466612013|DOI: 10.4018/jertcs.2012070104
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MLA

Chen, Liang, et al. "Motion Restricted Information Filter for Indoor Bluetooth Positioning." IJERTCS vol.3, no.3 2012: pp.54-66. http://doi.org/10.4018/jertcs.2012070104

APA

Chen, L., Kuusniemi, H., Chen, Y., Pei, L., Kröger, T., & Chen, R. (2012). Motion Restricted Information Filter for Indoor Bluetooth Positioning. International Journal of Embedded and Real-Time Communication Systems (IJERTCS), 3(3), 54-66. http://doi.org/10.4018/jertcs.2012070104

Chicago

Chen, Liang, et al. "Motion Restricted Information Filter for Indoor Bluetooth Positioning," International Journal of Embedded and Real-Time Communication Systems (IJERTCS) 3, no.3: 54-66. http://doi.org/10.4018/jertcs.2012070104

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Abstract

This paper studies wireless positioning using a network of Bluetooth signals. Fingerprints of received signal strength indicators (RSSI) are used for localization. Due to the relatively long interval between the available consecutive Bluetooth signal strength measurements, the authors propose a method of information filtering with speed detection, which combines the estimation information from the RSSI measurements with the prior information from the motion model. Speed detection is further assisted to correct the outliers of position estimation. The field tests show that the new algorithm proposed applying information filter with speed detection improves the horizontal positioning accuracy of indoor navigation with about 17% compared to the static fingerprinting positioning method, achieving a 4.2 m positioning accuracy on the average, and about 16% improvement compared to the point Kalman filter.

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