Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty

DOI10.1016/J.SIGPRO.2010.07.013zbMath1203.94024OpenAlexW2072328181WikidataQ59552244 ScholiaQ59552244MaRDI QIDQ612607

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

Publication date: 29 December 2010

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.07.013

zbMATH Keywords

multiple sensorsuncertain observationslinear and quadratic estimation

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (6)

A study on input noise second-order filtering and smoothing of linear stochastic discrete systems with packet dropouts ⋮ Quadratic filtering algorithm based on covariances using correlated uncertain observations coming from different sensors ⋮ Quadratic filtering for discrete-time systems with measurement delay and packet dropping ⋮ Quadratic estimation problem in discrete-time stochastic systems with random parameter matrices ⋮ Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements ⋮ Optimal linear filter design for systems with correlation in the measurement matrices and noises: recursive algorithm and applications

Cites Work

• Unnamed Item
• Precision missile guidance using radar/multiple-video sensor fusion via communication channels with bit-rate constraints
• Recursive estimator for linear and nonlinear systems with uncertain observations
• Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors
• Robust minimum variance linear state estimators for multiple sensors with different failure rates
• Optimal linear estimation with uncertain observations (Corresp.)
• Polynomial Filtering for Linear Discrete Time Non-Gaussian Systems
• Optimal quadratic filtering of linear discrete-time non-Gaussian systems
• Linear smoothing for discrete-time systems in the presence of correlated disturbances and uncertain observations
• New recursive estimators from correlated interrupted observations using covariance information

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