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Keywords: Kalman filter
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Journal Articles
Journal:
Sensor Review
Sensor Review (2020) 40 (5): 559–575.
Published: 31 August 2020
... rights only GPS Accuracy Kalman filter GLONASS DGNSS RTK-OTF dclk = systematic error of the receiver clock delay in the GPS and GLONASS system separately; datm = systematic error of atmosphere delay in the GPS and GLONASS system separately...
Journal Articles
Journal:
Sensor Review
Sensor Review (2020) 40 (2): 153–165.
Published: 03 February 2020
... efficient linear Kalman filter to solve the problem. Design/methodology/approach The observation model is in the form of a least-square optimization composed by GNSS and horizontal measurements. Analytical quaternion solution along with its covariance is derived to significantly speed up on-chip...
Journal Articles
Journal:
Sensor Review
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
Journal:
Sensor Review
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
Journal:
Sensor Review
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
Journal:
Sensor Review
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
Journal:
Sensor Review
Sensor Review (2015) 35 (4): 389–400.
Published: 21 September 2015
... system. Design/methodology/approach – The smoothing ZUPT is based on a Rauch–Tung–Striebel (RTS) smoother, using a six-state Kalman filter (KF) as the forward filter. The KF acts as an indirect filter, which allows the sensor measurement error and position error to be excluded from the error state...
