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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Mechanical systems and signal processing Ročník 158; s. 107619
Hlavní autoři:	Yamada, Keigo, Saito, Yuji, Nankai, Koki, Nonomura, Taku, Asai, Keisuke, Tsubakino, Daisuke
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin Elsevier Ltd 01.09.2021 Elsevier BV
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!