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.

Publisher: IEEE Communications Society

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@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},
	doi = {10.1109/wcnc.2018.8377274},
	year = {2018}
}