Least-squares filtering algorithm in sensor networks with noise correlation and multiple random failures in transmission

DOI10.1155/2017/1570719zbMath1426.93327OpenAlexW2747450703WikidataQ59551831 ScholiaQ59551831MaRDI QIDQ1992365

Raquel Caballero-Águila, Josefa Linares-Pérez, Aurora Hermoso-Carazo

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/1570719

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24)

Related Items (1)

Least-squares estimators for systems with stochastic sensor gain degradation, correlated measurement noises and delays in transmission modelled by Markov chains

Cites Work

• Optimal filtering for networked systems with stochastic sensor gain degradation
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• Optimal distributed Kalman filtering fusion for a linear dynamic system with cross-correlated noises
• Optimal state estimation for networked systems with random parameter matrices, correlated noises and delayed measurements
• New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts

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