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Keywords: Kalman filter
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Journal Articles
Sensor Review (2020) 40 (5): 559–575.
Published: 31 August 2020
.../A registered by the GPS (or GLONASS) reference station; and ρref = geometric distance between the satellite and the GPS (or GLONASS) reference station. From equation (1) , in the stochastic process using Kalman filtering (Vetrella et al., 2016), the aircraft position...
Journal Articles
Journal Articles
Sensor Review (2019) 39 (5): 708–715.
Published: 12 August 2019
...Xiaobin Xu; Minzhou Luo; Zhiying Tan; Min Zhang; Hao Yang Purpose This paper aims to investigate the effect of unknown noise parameters of Kalman filter on velocity and displacement and to enhance the measured accuracy using adaptive Kalman filter with particle swarm optimization algorithm...
Journal Articles
Sensor Review (2019) 39 (5): 636–644.
Published: 12 August 2019
... algorithm to deal with magnetic disturbances. Design/methodology/approach In this paper, an adaptive measurement equation based on vehicle status is derived, which can constrain the yaw estimation from drifting when vehicle is running straight. Using this new measurement, a Kalman filter-based fusion...
Journal Articles
Sensor Review (2020) 40 (2): 255–272.
Published: 12 August 2019
... presents a novel framework for vehicle sideslip angle estimation. The presented framework combines an adaptive tire model, an unscented Kalman filter-based axle force observer and data from tire mounted sensors. Tire model adaptation is achieved by making extensions to the magic formula, by accounting...
Journal Articles
Sensor Review (2016) 36 (1): 34–39.
Published: 18 January 2016
... drift prediction model, auto-regressive moving average (ARMA) and Kalman filter models are used. The basic idea is to build the ARMA and Kalman models on the short-term sensor signal collected in a short period (one month) by an e-nose and aim at realizing the long-term time series prediction in a year...
Journal Articles

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