Power-Efficient Dimensionality Reduction for Distributed Channel-Aware Kalman Tracking Using WSNs

DOI10.1109/TSP.2009.2020748zbMath1391.94480MaRDI QIDQ4569820

Ioannis D. Schizas, Hao Zhu, Georgios B. Giannakis

Publication date: 9 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

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

Related Items (7)

Improved distributed particle filters for tracking in a wireless sensor network ⋮ Multi-rate distributed fusion estimation for sensor networks with packet losses ⋮ Data reduction with quantization constraints for decentralized estimation in wireless sensor networks ⋮ Real‐time Kalman filtering based on distributed measurements ⋮ Energy-efficient weighted observation fusion Kalman filtering with randomly delayed measurements ⋮ Reliable fusion estimation over sensor networks with outliers and energy constraints ⋮ State estimation and data fusion for multirate sensor networks

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