Brief paper: Optimal Kalman filtering fusion with cross-correlated sensor noises
Automatica (Journal of IFAC)
Detection of buried landmines using the possibilistic correlation-dependent fusion methods
ISPRA'07 Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation
Adaptive control and data fusion using EKF for wheeled robots with parametric uncertainties
SMO'06 Proceedings of the 6th WSEAS International Conference on Simulation, Modelling and Optimization
Optimal linear estimation fusion .I. Unified fusion rules
IEEE Transactions on Information Theory
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This work solves a practical decentralized track fusion problem where the global fusion center can not receive the real-time covariance information from local systems because of the limited communication bandwidth. The algorithms of track-to-track fusion were revisited, especially the recent new researching results, and the proper algorithms for the linear systems with incomplete covariance information were analyzed. The approximate optimal track fusion (AOTF) algorithm was proposed for steady or "slowly varying" system based on the optimal decentralized track fusion algorithm (OTF). This new designed algorithm has preferable performance than the maximum-likelihood-based fusion methods either in tracking error or in computational load, at the same time, the communication bandwidth needed is very small. Simulation results confirm its effectiveness.