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3D Research

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01.09.2018 | 3DR Express

Construction Algorithm of 3D Location Fingerprint Database

verfasst von: Chun-ming Wu, Chen Zhao

Erschienen in: 3D Research | Ausgabe 3/2018

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Abstract

A vital problem with location fingerprinting is the considerable workload and time cost by the fingerprint location technology under the non-line-of-sight environment in the indoor. This paper proposed a fingerprint database construction algorithm which combining Latin hypercube sampling and Kriging interpolation to solve these problems. The algorithm optimizes the sample size before interpolation based on modified traditional Latin hypercube sampling which solve marginal “pessimistic” problem. Then, an improved Kriging interpolation combined with the basic loss model of signal intensity is used to establish the database. The performance of the proposed algorithm is verified by using K-nearest neighbor location. The simulation results show that the proposed algorithm not only ensures the location accuracy, but also reduces the time cost and workload about 60%, and the minimum error as low as 10 cm.

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Titel: Construction Algorithm of 3D Location Fingerprint Database
verfasst von: Chun-ming Wu
Chen Zhao
Publikationsdatum: 01.09.2018
Verlag: 3D Display Research Center
Erschienen in: 3D Research / Ausgabe 3/2018
Elektronische ISSN: 2092-6731
DOI: https://doi.org/10.1007/s13319-018-0177-8

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