The Cellular Network's Signal-Aware Fingerprint-Based Positioning Technique (SAFPPT)

Authors:
Chung-Ming Huang;Shih-Yang Lin;Tsung-Han Hsieh
Affiliations:
Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan, ROC
Venue:
Wireless Personal Communications: An International Journal
Year:
2014

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Abstract

The Fingerprint-based positioning technique provides an alternative choice for positioning. In order to meet different requirements for traveling, e.g., positioning within a specific area or detection some approaching Point Of Interests (POIs), a Signal-Aware Fingerprint-based Positioning Technique (SAFPPT) is proposed in this paper. SAFPPT contains four positioning methods based on the signal/information of cellular network's base stations: (i) Positioning Method of Line (PMoL), (ii) Positioning Method of Plane (PMoP), (iii) Approaching Detection Method of Point (ADMoP), and (iv) Approaching Detection Method of Line (ADMoL). The basic idea is that SAFPPT uses user's cellular information to find the best match records in the pre-established Fingerprint database. SAFPPT can be used in different scenarios of the interested area: (i) Point of Interest (point), (ii) road (line), and (iii) region (plane). The experimental results show that (i) the positioning accuracy of PMoL and PMoP are higher than Google's "My Location", (ii) some parameters may affect the positioning accuracy of PMoL, e.g., the moving speed of a user and the number of samples of the Fingerprint database, (iii) the stayed time length of a user may affect the positioning accuracy of PMoP, (iv) ADMoP and ADMoL have higher hit rates to determine the corresponding POIs that a user is approaching within the 150-m radius of the approaching range.