Multi-Sensor Centralized Fusion Without Measurement Noise Covariance By Variational Bayesian Approximation

Publisher:
IEEE-Inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Citation:
IEEE Transactions On Aerospace And Electronic Systems, 2011, 47 (1), pp. 718 - 727
Issue Date:
2011-01
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The work presented here solves the multi-sensor centralized fusion problem in the linear Gaussian model without the measurement noise variance. We generalize the variational Bayesian approximation based adaptive Kalman filter (VB_AKF) from the single sen
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