Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2013
Öğrenci: MERİÇ KORAY KARAKURT
Danışman: ALİ ÖZGÜR YILMAZ
Özet:In this study, received signal strength indicator (RSSI) based indoor localization is investigated in sparse-anchor-deployment environments. Multipath propagation, dynamical variations in propagation model parameters and antenna patterns which are three of many potential error sources of indoor RSSI-based localization are experimentally analyzed. Possible enhancements so as to minimize the effects of mentioned problems are examined. A multichannel maximum-likelihood estimation (MLE) algorithm is proposed and implemented in a testbed together with some existing localization algorithms. A performance comparison of the implemented methods is provided. It is shown that the suggested method can increase the accuracy of indoor RSSI-based localization in low anchor density by using multichannel measurements and real-time propagation parameter estimation.