Naslov
GSM-Based Approach for Indoor Localization

Autori
Stella, Maja ; Russo, Mladen ; Begušić, Dinko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
World Academy of Science, Engineering and Technology / - , 2013, 195-199

Skup
International Conference on Electrical, Computer, Electronics and Communication Engineering (ICECECE 2013)

Mjesto i datum
Venecija, Italija, 15.04.2013. - 16.04.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Indoor positioning; WLAN; GSM; RSS; location fingerprints; neural network

Sažetak
Ability of accurate and reliable location estimation in indoor environment is the key issue in developing great number of context aware applications and Location Based Services (LBS). Today, the most viable solution for localization is the Received Signal Strength (RSS) fingerprinting based approach using wireless local area network (WLAN). This paper presents two RSS fingerprinting based approaches – first we employ widely used WLAN based positioning as a reference system and then investigate the possibility of using GSM signals for positioning. To compare them, we developed a positioning system in real world environment, where realistic RSS measurements were collected. Multi-Layer Perceptron (MLP) neural network was used as the approximation function that maps RSS fingerprints and locations. Experimental results indicate advantage of WLAN based approach in the sense of lower localization error compared to GSM based approach, but GSM signal coverage by far outreaches WLAN coverage and for some LBS services requiring less precise accuracy our results indicate that GSM positioning can also be a viable solution.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

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