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Particle-Filter-Based WiFi-Aided Reduced Inertial Sensors Navigation System for Indoor and GPS-Denied Environments
Joint Authors
Atia, M. M.
Noureldin, Aboelmagd
Korenberg, Michael J.
Source
International Journal of Navigation and Observation
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Indoor navigation is challenging due to unavailability of satellites-based signals indoors.
Inertial Navigation Systems (INSs) may be used as standalone navigation indoors.
However, INS suffers from growing drifts without bounds due to error accumulation.
On the other side, the IEEE 802.11 WLAN (WiFi) is widely adopted which prompted many researchers to use it to provide positioning indoors using fingerprinting.
However, due to WiFi signal noise and multipath errors indoors, WiFi positioning is scattered and noisy.
To benefit from both WiFi and inertial systems, in this paper, two major techniques are applied.
First, a low-cost Reduced Inertial Sensors System (RISS) is integrated with WiFi to smooth the noisy scattered WiFi positioning and reduce RISS drifts.
Second, a fast feature reduction technique is applied to fingerprinting to identify the WiFi access points with highest discrepancy power to be used for positioning.
The RISS/WiFi system is implemented using a fast version of Mixture Particle Filter for state estimation as nonlinear non-Gaussian filtering algorithm.
Real experiments showed that drifts of RISS are greatly reduced and the scattered noisy WiFi positioning is significantly smoothed.
The proposed system provides smooth indoor positioning of 1 m accuracy 70% of the time outperforming each system individually.
American Psychological Association (APA)
Atia, M. M.& Korenberg, Michael J.& Noureldin, Aboelmagd. 2012. Particle-Filter-Based WiFi-Aided Reduced Inertial Sensors Navigation System for Indoor and GPS-Denied Environments. International Journal of Navigation and Observation،Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-496032
Modern Language Association (MLA)
Atia, M. M.…[et al.]. Particle-Filter-Based WiFi-Aided Reduced Inertial Sensors Navigation System for Indoor and GPS-Denied Environments. International Journal of Navigation and Observation No. 2012 (2012), pp.1-12.
https://search.emarefa.net/detail/BIM-496032
American Medical Association (AMA)
Atia, M. M.& Korenberg, Michael J.& Noureldin, Aboelmagd. Particle-Filter-Based WiFi-Aided Reduced Inertial Sensors Navigation System for Indoor and GPS-Denied Environments. International Journal of Navigation and Observation. 2012. Vol. 2012, no. 2012, pp.1-12.
https://search.emarefa.net/detail/BIM-496032
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-496032