@inproceedings{6a16163028b048a7bd06cce544faecf2,
title = "Geolocation with Graph-Based Model Fitting",
abstract = "We address the problem of geolocation in a search and rescue mission where a person with a hand-held transmitter is to be located by a sporadic set of receivers, which measure the received power of the transmitted distress beacon. As simple propagation models are insufficient to correctly predict the received powers, we suggest to use the region topology in order to derive a graph-based structure. The latter is then exploited for simultaneous model adjustment and geolocation. Simulations demonstrate the effectiveness of the suggested method.",
author = "Dvorkind, {Tsvi G.} and Eldar, {Yonina C.}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 ; Conference date: 15-12-2019 Through 18-12-2019",
year = "2019",
month = dec,
doi = "10.1109/CAMSAP45676.2019.9022614",
language = "الإنجليزيّة",
isbn = "9781728155500",
series = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",
pages = "356--360",
booktitle = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",
}