Energy-efficient weighted observation fusion Kalman filtering with randomly delayed measurements
From MaRDI portal
Publication:531258
DOI10.1007/S00034-014-9790-9zbMath1341.93083OpenAlexW2078821596MaRDI QIDQ531258
Publication date: 3 August 2016
Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00034-014-9790-9
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10)
Related Items (2)
Gain-constrained extended Kalman filtering with stochastic nonlinearities and randomly occurring measurement delays ⋮ Distributed dimensionality reduction fusion Kalman filtering with quantized innovations
Cites Work
- Estimation in multisensor networked systems with scarce measurements and time varying delays
- Multi-sensor optimal information fusion Kalman filter
- Distributed weighted Fusion estimators with random delays and packet dropping
- Stochastic processes and filtering theory
- Distributed Fusion Estimation With Missing Measurements, Random Transmission Delays and Packet Dropouts
- Full Rank Factorization of Matrices
- Optimal linear estimation fusion. I. Unified fusion rules
- Power-Efficient Dimensionality Reduction for Distributed Channel-Aware Kalman Tracking Using WSNs
- Distributed Estimation in Energy-Constrained Wireless Sensor Networks
- Ordering for Estimation and Optimization in Energy Efficient Sensor Networks
- Linear Decentralized Estimation of Correlated Data for Power-Constrained Wireless Sensor Networks
- Distributed Finite-Horizon Fusion Kalman Filtering for Bandwidth and Energy Constrained Wireless Sensor Networks
- Power scheduling of universal decentralized estimation in sensor networks
- Stabilization of Networked Control Systems With a New Delay Characterization
- Robust Information Fusion Estimator for Multiple Delay-Tolerant Sensors With Different Failure Rates
- Filtering for Discrete-Time Networked Nonlinear Systems With Mixed Random Delays and Packet Dropouts
This page was built for publication: Energy-efficient weighted observation fusion Kalman filtering with randomly delayed measurements