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Enwen Hu
Beijing University of Posts and Telecommunications
Computer Science & IT

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A Novel Approach for RSS-based Fingerprinting Location System in GSM Zhongliang Deng; Enwen Hu; Lu Yin
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 2: June 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i2.3617

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index Received signal strength (RSS)-based fingerprinting location systems have attracted much attention in recent years. No additional hardware is required for it implementation to existing networks. However, by analyzing the realistic measurements from GSM, we find that not only the RSS but also the neighboring base stations heard at some reference point will change over time. But the relative order of neighboring base stations (NBS) sorted according to their RSS are more stable. In this paper, we present a confidence coefficient of base station based on a gridding approach to get a relative accurate NBS during the offline phase, and proposed a novel algorithm with Longest Common Subsequence Matching Degree (LCSMD) of base station vector (BSV), which uses the relative order of NBS sorted according to their RSS. To evaluate our proposed method, we collect the realistic data from GSM network. Results show that the method based on LCSMD improves the positioning accuracy compared to the original method. 
Co-Authors Lu Yin Zhongliang Deng