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Spatiotemporal Location Fingerprint Generation Using Extended Signal Propagation Model
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- Authors
- Hee Sung Kim, Binghao Li, Wan Sik Choi, Sang Kyung Sung, Hyung Keun Lee
- Issue Date
- 2012-09
- Citation
- Journal of Electrical Engineering & Technology, v.7, no.5, pp.789-796
- ISSN
- 1975-0102
- Publisher
- 대한전기학회 (KIEE)
- Language
- English
- Type
- Journal Article
- Abstract
- Fingerprinting is a widely used positioning technology for received signal strength (RSS) based wireless local area network (WLAN) positioning system. Though spatial RSS variation is the key factor of the positioning technology, temporal RSS variation needs to be considered for more accuracy. To deal with the spatial and temporal RSS characteristics within a unified framework, this paper proposes an extended signal propagation mode (ESPM) and a fingerprint generation method. The proposed spatiotemporal fingerprint generation method consists of two algorithms running in parallel; Kalman filtering at several measurement-sampling locations and Kriging to generate location fingerprints at dense reference locations. The two different algorithms are connected by the extended signal propagation model which describes the spatial and temporal measurement characteristics in one frame. An experiment demonstrates that the proposed method provides an improved positioning accuracy.
- KSP Keywords
- Kalman filtering, Key factor, Local Area Network(LAN), Location fingerprint, Positioning accuracy, Positioning technology, Radio signal strength(RSS), Sampling locations, Signal Propagation, Spatial and temporal, Wireless Local Area Networks(WLANs)