Greedy Selection of Sensors for Linear Bayesian Estimation under Correlated Noise

We consider the problem of finding the best subset of sensors in wireless sensor networks where linear Bayesian parameter estimation is conducted from the selected measurements corrupted by correlated noise. We aim to directly minimize the estimation error which is manipulated by using the QR and LU...

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Veröffentlicht in:	IEICE Transactions on Information and Systems 2024/09/01, Vol.E107.D(9), pp.1274-1277
1. Verfasser:	KIM, Yoon Hak
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian analysis Complexity Correlation Error analysis greedy algorithm Greedy algorithms linear Bayesian estimation LU factorization Parameter estimation QR factorization sensor selection Sensors Wireless sensor networks
Online-Zugang:	Volltext
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