Wi-Fi와 BLE를 이용한 Log-Distance Path Loss Model 기반 Fingerprint Radio map 알고리즘

Abstract

Recently, with the rapid advancement in information and communication technology, a variety of location-based services are being used in life. Representative technology of GPS(Global Positioning System), it is difficult to measure a precise localization due to low permeability of the signal by obstacles such as walls, buildings. Wi-Fi-based fingerprint indoor localization is widely used owing to its low cost and the rapid increase of its network. This method is measure the intensity of the radio signal because estimates location comparing and analyzing RSS(Received Signal Strength).

In order to adapt the localization in a variety of indoor area, this paper propose RTLS(Real Time Location System) algorithms based on the fusion of WLAN(Wireless LAN) and BLE(Bluetooth Low Energy) in the corridor and room of building.

The proposed method can store the environment variable instead of signal strength in order to increasing the detail of the position and easy adapting to Wi-Fi and BLE.

The experimental results show that the errors of localization are reduced to 31% compared to conventional fingerprint in the experiment spaces by using proposed algorithm.