2018
DOI: 10.3390/s18082721
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IMU Signal Generator Based on Dual Quaternion Interpolation for Integration Simulation

Abstract: This paper focuses on the problem of high-update-rate and high accuracy inertial measurement unit signal generation. In order to be in accordance with the vehicle’s kinematic and dynamic characteristics as well as the characteristics of pseudorange of post-processed global navigation satellite system and their rate measurements, a novel dual quaternion interpolation and analytic integration algorithm based on actual flight data is proposed. The proposed method can simplify the piecewise analytical expressions … Show more

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Cited by 6 publications
(4 citation statements)
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“…Walker et al [56] applied dual quaternions to estimate the pose of an object using visual data and [44] used them to interpolate rigid-body motion. Both became more active areas of research recently, the first (visual data processing and cloud points registration) being followed by [57][58][59][60] and the second (interpolation of rigid-body motion) followed by [61][62][63][64] (alternatively to motion interpolation, ref. [65] uses differential geometry and dual curvature theory).…”
Section: General Overviewmentioning
confidence: 99%
“…Walker et al [56] applied dual quaternions to estimate the pose of an object using visual data and [44] used them to interpolate rigid-body motion. Both became more active areas of research recently, the first (visual data processing and cloud points registration) being followed by [57][58][59][60] and the second (interpolation of rigid-body motion) followed by [61][62][63][64] (alternatively to motion interpolation, ref. [65] uses differential geometry and dual curvature theory).…”
Section: General Overviewmentioning
confidence: 99%
“…In [19] the authors propose an analytical IMU signal generation algorithm, which can boast higher accuracy than competitive modern algorithms. The algorithm utilizes dual quaternion interpolation and involves sophisticated equations.…”
Section: Related Workmentioning
confidence: 99%
“…A trajectory generator is a key component in the research and testing of the SINS/GNSS algorithm. Many approaches have been developed for the trajectory generator over the decades, which can be classified into three general categories [ 8 ]: (1) The first approach is based on pure mathematical models of SINS equations [ 9 ]. Profile generation (PROFGEN) [ 10 ] is the most traditional trajectory generator in this category, which can provide information on flight parameters such as position, velocity, attitude, angular velocity, and specific force.…”
Section: Introductionmentioning
confidence: 99%
“…PROFGEN can support four flight maneuvers: vertical turns, horizontal turns, sinusoidal heading changes, and straight flight. (2) The second approach is based on actual flight data [ 8 , 11 , 12 , 13 , 14 ]. The simulated signals of gyroscopes and accelerometers are correlated not only with the vehicle’s kinematics and dynamic characteristics but also with the characteristics of post-processed GNSS’s pseudo-ranges and pseudo-range rate measurements.…”
Section: Introductionmentioning
confidence: 99%