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Guaranteeing practical convergence in algorithms for 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: 2008
Type: Journal article
Source: IEEE Transactions on Signal Processing
DOI: 10.1109/TSP.2008.924138


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