Data fusion for target tracking in wireless sensor networks using quantized innovations and Kalman filtering

DOI10.1007/s11432-011-4533-zzbMath1245.93133OpenAlexW2349308680MaRDI QIDQ439754

Jianxun Li, Sheng Xu, Jian Xu

Publication date: 17 August 2012

Published in: Science China. Information Sciences (Search for Journal in Brave)

Full work available at URL: http://engine.scichina.com/doi/10.1007/s11432-011-4533-z

zbMATH Keywords

Kalman filteringtarget trackingdata fusionlimited bandwidthquantized innovation

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Communication networks in operations research (90B18)

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Cites Work

• Multi-sensor optimal information fusion Kalman filter
• Optimal linear estimation fusion. I. Unified fusion rules
• Universal Decentralized Estimation in a Bandwidth Constrained Sensor Network
• Decentralized Quantized Kalman Filtering With Scalable Communication Cost
• Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case
• SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations
• Nonlinear estimation with quantized measurements--PCM, predictive quantization, and data compression
• The optimality for the distributed Kalman filtering fusion with feedback