Fast greedy optimization of sensor selection in measurement with correlated noise

•A sub-optimal sensor selection method was introduced for sensing high-dimensional, low-ranked phenomena.•Maximization on the determinant of the Fisher Information matrix was conducted.•Data-driven modeling of the correlated measurement noise was developed.•Mode information was utilized for efficien...

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Veröffentlicht in:	Mechanical systems and signal processing Jg. 158; S. 107619
Hauptverfasser:	Yamada, Keigo, Saito, Yuji, Nankai, Koki, Nonomura, Taku, Asai, Keisuke, Tsubakino, Daisuke
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin Elsevier Ltd 01.09.2021 Elsevier BV
Schlagworte:	Algorithms Bayesian analysis Bayesian state estimation Computational efficiency Computing time Conditional probability Covariance matrix Data processing Fisher information Greedy algorithm Greedy algorithms Noise Noise measurement Optimization Parameter estimation Sensor placement optimization Sensors Sensor placement optimization 37M05 Greedy algorithm Data processing 90C27 62F15 Bayesian state estimation
ISSN:	0888-3270, 1096-1216
Online-Zugang:	Volltext
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