Fusion estimation using measured outputs with random parameter matrices subject to random delays and packet dropouts

• Published in: Signal processing Vol. 127; pp. 12 - 23
• Main Authors: Caballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J.
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.10.2016
• Subjects: Covariance; Covariance information; Delay; Dropouts; Estimators; Fusion estimation; Least squares method; Mathematical models; Packet dropouts; Processors; Random delays; Random parameter matrices; Sensors; Random parameter matrices; Covariance information; Fusion estimation; Random delays; Packet dropouts
• ISSN: 0165-1684; 1872-7557
• DOI: 10.1016/j.sigpro.2016.02.014

This paper investigates the centralized and distributed fusion estimation problems for discrete-time random signals from multi-sensor noisy measurements, perturbed by random parameter matrices, which are transmitted to local processors through different communication channel links. It is assumed tha...