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Optimality analysis of sensor-target localization geometries

Bishop, Adrian; Fidan, Baris; Anderson, Brian; Dogancay, Kutluyil; Pathirana, Pubudu


The problem of target localization involves estimating the position of a target from multiple noisy sensor measurements. It is well known that the relative sensor-target geometry can significantly affect the performance of any particular localization algorithm. The localization performance can be explicitly characterized by certain measures, for example, by the Cramer-Rao lower bound (which is equal to the inverse Fisher information matrix) on the estimator variance. In addition, the Cramer-Rao...[Show more]

CollectionsANU Research Publications
Date published: 2010
Type: Journal article
Source: Automatica
DOI: 10.1016/j.automatica.2009.12.003


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