A Novel Approach for RSS-based Fingerprinting Location System in GSM
Abstract: 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 is 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.
Author: Zhongliang Deng, Enwen
Hu, Lu Yin
Journal Code: jptkomputergg170107
