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Conditions for Guaranteed Convergence in Sensor and Source Localization

Fidan, Baris; Dasgupta, Soura; Anderson, Brian

Description

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
URI: http://hdl.handle.net/1885/37978
Source: Proceedings of the 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing
DOI: 10.1109/ICASSP.2007.366427

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