Proceedings ArticleDOI
Hybrid Kalman filter-fuzzy logic adaptive multisensor data fusion architectures
Ponciano Jorge Escamilla-Ambrosio,N. Mort +1 more
- Vol. 5, pp 5215-5220
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TLDR
The recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is used to build adaptive centralized, decentralized, and federated Kalman filters for adaptive multisensor data fusion (AMSDF).Abstract:
In this work the recently developed fuzzy logic-based adaptive Kalman filter (FL-AKF) is used to build adaptive centralized, decentralized, and federated Kalman filters for adaptive multisensor data fusion (AMSDF). The adaptation carried out is in the sense of adaptively adjusting the measurement noise covariance matrix of each local FL-AKF to fit the actual statistics of the noise profiles present in the incoming measured data. A fuzzy inference system (FIS) based on a covariance-matching technique is used as the adaptation mechanism. The effectiveness and accuracy of the proposed AMSDF approaches is demonstrated in a simulated example.read more
Citations
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Journal ArticleDOI
Multisensor data fusion: A review of the state-of-the-art
TL;DR: A comprehensive review of the data fusion state of the art is proposed, exploring its conceptualizations, benefits, and challenging aspects, as well as existing methodologies.
Journal ArticleDOI
Approaches to Multisensor Data Fusion in Target Tracking: A Survey
Daniel Smith,S. Singh +1 more
TL;DR: The survey discusses the application of the various algorithms at different layers of the JDL model and highlights the weaknesses and strengths of the approaches in the context of different applications
Journal ArticleDOI
Data Fusion and IoT for Smart Ubiquitous Environments: A Survey
TL;DR: The aim of this paper is to review literature on data fusion for IoT with a particular focus on mathematical methods (including probabilistic methods, artificial intelligence, and theory of belief) and specific IoT environments (distributed, heterogeneous, nonlinear, and object tracking environments).
Journal ArticleDOI
Pico satellite attitude estimation via Robust Unscented Kalman Filter in the presence of measurement faults.
TL;DR: Two different RUKF algorithms, one with single scale factor and one with multiple scale factors, are proposed and applied for the attitude estimation process of a pico satellite and the results of these algorithms are compared for different types of measurement faults in different estimation scenarios.
Journal ArticleDOI
Equality Constrained Robust Measurement Fusion for Adaptive Kalman-Filter-Based Heterogeneous Multi-Sensor Navigation
TL;DR: A new algorithm, the so-called constrained adaptive robust integration Kalman filter (CARIKF) is presented, which implements adaptive integration upon the robust direct fusion solution and is superior to other algorithms and can significantly improve the precision and reliability of the integrated solution.
References
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Adaptive Kalman Filtering for INS/GPS
Ahmed Mohamed,K. P. Schwarz +1 more
TL;DR: The detailed development of an innovation-based adaptive Kalman filter for an integrated inertial navigation system/global positioning system (INS/GPS) is given, based on the maximum likelihood criterion for the proper choice of the filter weight and hence the filter gain factors.
Book
Introduction to Random Signals and Applied Kalman Filtering with Matlab Exercises
TL;DR: Probability and Random Variables: A Review, and more on Modeling: Integration of Noninertial Measurements Into INS.