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2019 | OriginalPaper | Chapter

Diffuse Fingerprint Search Algorithm

Authors : Deyue Zou, Qi Zhang, Xin Liu

Published in: Communications, Signal Processing, and Systems

Publisher: Springer Singapore

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Abstract

Fingerprint positioning is a commonly choice for indoor positioning. It has a room-level positioning accuracy which is most necessary for indoor positioning because of efficient apply and circumvention of the occlusion and reflection of complex indoor structures. Clustering is a method commonly used in fingerprint positioning to reduce the workload of the search, but both the artificial clustering and automatic clustering have their own limitations. This paper proposes a diffusion-based fingerprint search strategy to accelerate the process of fingerprint positioning by using the results of the previous positioning as prior information. The simulation result shows that the proposed algorithm is superior to the traditional strategy in which we do clustering firstly and then positioning. At the same time, the positioning speed of our new algorithm is the same as the traditional one’s.

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Metadata
Title
Diffuse Fingerprint Search Algorithm
Authors
Deyue Zou
Qi Zhang
Xin Liu
Copyright Year
2019
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-6571-2_66