2013 American Control Conference 2013
DOI: 10.1109/acc.2013.6579849
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Nonlinear observer for GNSS-aided inertial navigation with quaternion-based attitude estimation

Abstract: Abstract-For applications with limited computational capacity, observers designed based on nonlinear stability theory offer an alternative to computationally demanding extended Kalman filters. In this paper, we present a semiglobally stable nonlinear observer for estimating position, velocity, attitude, and gyro bias by combining a GNSS receiver with an inertial measurement unit including a magnetometer. Previous work by the authors on this topic was based on local navigation equations that ignored the Earth's… Show more

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Cited by 54 publications
(94 citation statements)
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“…Proj(·, ·) denotes the parameter projection, from [24, App. E], such that the gyro bias estimate is confined to a compact set, bb g ≤ M g , as with the previous results presented by Grip et al [22], [25], [16] and [26].…”
Section: Estimating the Total Vessel Motion And The Gyro Biasmentioning
confidence: 55%
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“…Proj(·, ·) denotes the parameter projection, from [24, App. E], such that the gyro bias estimate is confined to a compact set, bb g ≤ M g , as with the previous results presented by Grip et al [22], [25], [16] and [26].…”
Section: Estimating the Total Vessel Motion And The Gyro Biasmentioning
confidence: 55%
“…where (1)- (5) are obtained from Bryne et al [15], extending the formulation in Grip et al [16] with the integral of the vertical heave position, p n z , denoted p n I which is an auxiliary variable defined in order to utilize a virtual vertical reference (VVR) aiding measurement presented in Section 2.4. The strapdown equations applied in this paper are suitable for marine surface vessels employing local navigation.…”
Section: Kinematic Strapdown Equationsmentioning
confidence: 99%
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“…The reader is referred to Fossen and Strand (1999), Fossen (2011) for details on the model-based observer, and to Grip et al (2012), Grip et al (2013), Bryne et al (2014), and Bryne et al (2015) for details on the signal-based observer.…”
Section: Observers Used In Dynamic Positioningmentioning
confidence: 99%