Document - Mass-centered weight update scheme for particle filter based indoor pedestrian positioning

2018

Conference article Open Access

Mass-centered weight update scheme for particle filter based indoor pedestrian positioning

Shao W., Luo H., Zhao F., Wang C., Crivello A., Zahid Tunio M.

Location awareness Indoor positioning Magnetic field based positioning Particle filter

Smartphone based indoor positioning has become a hot topic in pervasive computing, because of the need to improve indoor location-based services. In order to strengthen positioning accuracy, researchers have tried to leverage high-resolution magnetic fingerprint with particle filter and dynamic time warping (DTW). These approaches are computation-hungry, which increases hardware cost for positioning companies. By analyzing magnetic features for pedestrian users, we present a mass-centered weight update scheme to decrease calculation overheads. Finally, the proposed positioning algorithm is tested in a realistic situation, showing high-quality localization capability.

Source: WCNC 2018 - IEEE Wireless Communications and Networking Conference, Barcelona, Spain, 15-18 April 2018

Publisher: IEEE Communications Society, Piscataway, USA

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BibTeX entry

@inproceedings{oai:it.cnr:prodotti:387960,
	title = {Mass-centered weight update scheme for particle filter based indoor pedestrian positioning},
	author = {Shao W. and Luo H. and Zhao F. and Wang C. and Crivello A. and Zahid Tunio M.},
	publisher = {IEEE Communications Society, Piscataway, USA},
	doi = {10.1109/wcnc.2018.8377274},
	booktitle = {WCNC 2018 - IEEE Wireless Communications and Networking Conference, Barcelona, Spain, 15-18 April 2018},
	year = {2018}
}