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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Paul, A.S. Wan, E.A. |
| Copyright Year | 2007 |
| Abstract | Solutions for indoor tracking and localization have become more critical with recent advancement in context and location-aware technologies. The accuracy of explicit positioning sensors such as global positioning system (GPS) is often limited for indoor environments. In this paper, we evaluate the feasibility of building an indoor location tracking system that is cost effective for large scale deployments, can operate over existing Wi-Fi networks, and can provide flexibility to accommodate new sensor observations as they become available. This paper proposes a sigma-point Kalman smoother (SPKS)-based location and tracking algorithm as a superior alternative for indoor positioning. The proposed SPKS fuses a dynamic model of human walking with a number of low-cost sensor observations to track 2-D position and velocity. Available sensors include Wi-Fi received signal strength indication (RSSI), binary infra-red (IR) motion sensors, and binary foot-switches. Wi-Fi signal strength is measured using a receiver tag developed by Ekahau, Inc. The performance of the proposed algorithm is compared with a commercially available positioning engine, also developed by Ekahau, Inc. The superior accuracy of our approach over a number of trials is demonstrated. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 860 |
| Ending Page | 873 |
| Page Count | 14 |
| File Size | 1402084 |
| File Format | |
| ISSN | 19324553 |
| Volume Number | 3 |
| Issue Number | 5 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Kalman filters Infrared sensors Sensor systems Global Positioning System Indoor environments Costs Large-scale systems Fuses Humans Legged locomotion state estimation Bayesian inference indoor tracking received signal strength indication (RSSI)-based localization sigma-point Kalman filter sigma-point Kalman smoother |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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