Indoor location estimation by using MLE based algorithm on smallcell networks
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Tarih
2015
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a new framework for indoor localization using third generation universal mobile telecommunication system (3G UMTS) Femtocell. The fingerprinting technique is applied to collect the RSSI values through an Android User Equipment (UE) and data is processed in real time using Message Queuing telemetry protocol (MQTT) server. To achieve better RF planning and optimization for the placement of Femto Access Point (FAP), statistical analysis is performed by normalizing and calculating the mean square error (MSE) of the acquired data. To maximize the success rate in finding the location of the person, maximum likelihood estimation (MLE) is used for tracking. Simulation was carried out both for randomly generated samples and real world test.
Açıklama
23nd Signal Processing and Communications Applications Conference (SIU) -- MAY 16-19, 2015 -- Inonu Univ, Malatya, TURKEY
Ilyas, Muhammad/0000-0002-3207-451X
Ilyas, Muhammad/0000-0002-3207-451X
Anahtar Kelimeler
Femtocells, Indoor Localization, Indoor Positioning, Normal Distribution, Maximum Likelihood
Kaynak
2015 23Rd Signal Processing and Communications Applications Conference (Siu)
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
