Similarity-Based Multiple Model Adaptive Estimation

Similarity-Based Multiple Model Adaptive Estimation

Multiple model adaptive estimation (MMAE) methods are frequently used to overcome the parametric uncertainty of the system's model. Most MMAE methods approximate the state posteriori (posterior probability) by a weighted arithmetic average of model posteriories using a Bayesian weighting scheme...

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Bibliographic Details
Main Authors: Akbar Assa, Konstantinos N. Plataniotis
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Multiple model estimation
generalized averaging
probabilistic similarity measures
Online Access:https://ieeexplore.ieee.org/document/8404031/

Internet

https://ieeexplore.ieee.org/document/8404031/

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