D-optimal sensor selection in the presence of correlated measurement noise

•A relaxation technique to sensor selection for ordinary least squares is proposed.•The problem is reduced to a sequence of convex optimum experimental design problems.•A simple technique to convert the relaxed solutions to sensor locations is exposed.•An example demonstrates that the method is high...

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Bibliographic Details
Published in:	Measurement : journal of the International Measurement Confederation Vol. 164; p. 107873
Main Author:	Uciński, Dariusz
Format:	Journal Article
Language:	English
Published:	London Elsevier Ltd 01.11.2020 Elsevier Science Ltd
Subjects:	Accuracy Algorithms Computer simulation Correlated observations Correlation analysis Covariance matrix Estimating techniques Exchanging Least squares method Measurement Noise Noise measurement Optimization Ordinary least squares Parameter estimation Partial differential equations Sensor selection Sensors Studies Ordinary least squares Correlated observations Sensor selection
ISSN:	0263-2241, 1873-412X
Online Access:	Get full text
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