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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Vydané v:	Mechanical systems and signal processing Ročník 158; s. 107619
Hlavní autori:	Yamada, Keigo, Saito, Yuji, Nankai, Koki, Nonomura, Taku, Asai, Keisuke, Tsubakino, Daisuke
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin Elsevier Ltd 01.09.2021 Elsevier BV
Predmet:	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
On-line prístup:	Získať plný text
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