Skip navigation
Skip navigation

Conditions for Guaranteed Convergence in Sensor and Source Localization

Fidan, Baris; Dasgupta, Soura; Anderson, Brian


This paper considers localization of a source or a sensor from distance measurements. We argue that linear algorithms proposed for this purpose are susceptible to poor noise performance. Instead given a set of sensors/anchors of known positions and measured distances of the source/sensor to be localized from them we propose a potentially nonconvex weighted cost function whose global minimum estimates the location of the source/sensor one seeks. The contribution of this paper is to provide...[Show more]

CollectionsANU Research Publications
Date published: 2007
Type: Conference paper
Source: Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing
DOI: 10.1109/ICASSP.2007.366427


File Description SizeFormat Image
01_Fidan_Conditions_for_Guaranteed_2007.pdf680.02 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator