Distributed optimal component fusion deconvolution filtering
Signal Processing
Track fusion with incomplete covariance information
WSEAS TRANSACTIONS on SYSTEMS
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Correlated measurement fusion Kalman filters based on orthogonal transformation
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Distributed information fusion Kalman predictor for stochastic systems with uncertain observations
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Distributed fusion filter for time-delay systems with colored measurement noise
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Reduced dimension weighted measurement fusion Kalman filtering algorithm
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Optimal fusion reduced-order Kalman estimators for discrete-time stochastic singular systems
Control and Intelligent Systems
Distributed fusion receding horizon filtering in linear stochastic systems
EURASIP Journal on Advances in Signal Processing
Distributed receding horizon filtering in discrete-time dynamic systems
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
An attention-based decision fusion scheme for multimedia information retrieval
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
New approach to information fusion steady-state Kalman filtering
Automatica (Journal of IFAC)
Sensors' optimal dimensionality compression matrix in estimation fusion
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Optimal interval estimation fusion based on sensor interval estimates with confidence degrees
Automatica (Journal of IFAC)
Multi-metric learning for multi-sensor fusion based classification
Information Fusion
Optimal sequential and distributed fusion for state estimation in cross-correlated noise
Automatica (Journal of IFAC)
International Journal of Sensor Networks
Hi-index | 754.85 |
This paper deals with data (or information) fusion for the purpose of estimation. Three estimation fusion architectures are considered: centralized, distributed, and hybrid. A unified linear model and a general framework for these three architectures are established. Optimal fusion rules based on the best linear unbiased estimation (BLUE), the weighted least squares (WLS), and their generalized versions are presented for cases with complete, incomplete, or no prior information. These rules are more general and flexible, and have wider applicability than previous results. For example, they are in a unified form that is optimal for all of the three fusion architectures with arbitrary correlation of local estimates or observation errors across sensors or across time. They are also in explicit forms convenient for implementation. The optimal fusion rules presented are not limited to linear data models. Illustrative numerical results are provided to verify the fusion rules and demonstrate how these fusion rules can be used in cases with complete, incomplete, or no prior information.