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An Enhanced Adaptive Kalman Filter for Multibody Model Observation. [PDF]

Sensors (Basel)
Rodríguez AJ, Sanjurjo E, Naya MÁ.
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Energy-Aware Sensor Fusion Architecture for Autonomous Channel Robot Navigation in Constrained Environments. [PDF]

Sensors (Basel)
Shili M, Chaoui H, Nouri K.
europepmc   +1 more source

High-Precision 3D Mapping In Tunnels Based on Vibration Magnitude-Adaptive Kalman Filtering

Yaodong Song, Xiaobing Zheng, Ying Zhu
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Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]

Entropy (Basel)
Ma Y, Zhang G, Ye S, An D.
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Adaptive frequency shape Kalman filters

IEEE Transactions on Automatic Control, 1989
Kalman filters operating in colored process noise. Environments have frequency shaped gains. When the process noise environment is known and changing, then it is natural to use filters with adaptive frequency shaping. In this article one such least-squares based scheme which builds on the theory for the class of all stabilizing proper controllers for a
Moore, J. B., Tay, T. T.
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An Optimal Adaptive Kalman Filter

Journal of Geodesy, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yang, Yuanxi, Gao, Weiguang
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Adaptive Kalman Filtering: A Simulation Result

Journal of Dynamic Systems, Measurement, and Control, 1988
This paper presents the algorithm for on-line adaptive Kalman filtering of sensor signals with unknown signal to noise ratio. A first order spectrum of a pure signal and white Gaussian measurement noise have been assumed. The results of the performance tests of the algorithm as well as the design methodology of the adaptive filter are given.
Sasiadek, J. Z., Wojcik, P. J.
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Adaptive Kalman Filtering for INS/GPS

Journal of Geodesy, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohamed, A. H., Schwarz, K. P.
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