Online calibration for star trackers

10.32920/ryerson.14652984 ◽

2021 ◽

Author(s):

Brendon Vaz

Keyword(s):

Attitude Determination ◽

Environmental Changes ◽

Focal Length ◽

Calibration Method ◽

High Fidelity ◽

Online Calibration ◽

Star Catalogue ◽

Online Implementation ◽

Systematic Effects ◽

Star Camera

Star trackers are perhaps the most accurate means of measuring a spacecraft's orientation in space and are becoming a popular sensing instrument for attitude determination systems amongst conventional larger satellites as well as micro satellites. In order to produce and maintain high fidelity measurements, the systematic effects of lens distortion and possible sensor alterations due to environmental changes and instrument aging must all be accounted for through calibration, both on the ground and on orbit. In this study, a calibration method is presented to account for errors in star camera parameters, namely the focal length, bore sight offset, higher order radial distortion terms and the tip and tilt of the detector array in relation to the lens arrangement. This method does not depend on a costly high-precision lab setup; instead it simply employs the star camera images and a star catalogue to calibrate the instrument given reasonable initial estimates. This allows for a reduction in pre-mission calibration requirements and is feasible for an online implementation, allowing the star tracker to calibrate itself through out its life-cycle.

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An Online Calibration Method for Manipulator with Joint Clearance

ROBOT ◽

10.3724/sp.j.1218.2013.00521 ◽

2013 ◽

Vol 35 (5) ◽

pp. 521

Author(s):

Feng WANG ◽

Kai CHEN ◽

Xiaoping CHEN

Keyword(s):

Calibration Method ◽

Joint Clearance ◽

Online Calibration

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SCAD—A Fast Algorithm for Star Camera Attitude Determination

The Journal of the Astronautical Sciences ◽

10.1007/bf03546370 ◽

2004 ◽

Vol 52 (3) ◽

pp. 391-404 ◽

Cited By ~ 7

Author(s):

Malcolm D. Shuster

Keyword(s):

Fast Algorithm ◽

Attitude Determination ◽

Star Camera

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A Heading Gyro Bias Online Calibration Method for Autonomous Navigation System

10.1109/iai53119.2021.9619214 ◽

2021 ◽

Author(s):

Yunqiang Xiong ◽

Dongmei Zhang ◽

Chun Dong ◽

Shuangxi Li ◽

Hao Wu

Keyword(s):

Navigation System ◽

Autonomous Navigation ◽

Calibration Method ◽

Online Calibration ◽

Gyro Bias ◽

Autonomous Navigation System

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HYBRID ONLINE MOBILE LASER SCANNER CALIBRATION THROUGH IMAGE ALIGNMENT BY MUTUAL INFORMATION

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsannals-iii-1-25-2016 ◽

2016 ◽

Vol III-1 ◽

pp. 25-31 ◽

Cited By ~ 2

Author(s):

Mourad Miled ◽

Bahman Soheilian ◽

Emmanuel Habets ◽

Bruno Vallet

Keyword(s):

Mutual Information ◽

Imaging System ◽

Laser Scanner ◽

Point Clouds ◽

Calibration Method ◽

Online Calibration ◽

Calibration Methods ◽

Laser Calibration ◽

Scanner Calibration

This paper proposes an hybrid online calibration method for a laser scanner mounted on a mobile platform also equipped with an imaging system. The method relies on finding the calibration parameters that best align the acquired points cloud to the images. The quality of this intermodal alignment is measured by Mutual information between image luminance and points reflectance. The main advantage and motivation is ensuring pixel accurate alignment of images and point clouds acquired simultaneously, but it is also much more flexible than traditional laser calibration methods.

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Attitude Determination with Magnetometers and Accelerometers to Use in Satellite Simulator

Mathematical Problems in Engineering ◽

10.1155/2013/401282 ◽

2013 ◽

Vol 2013 ◽

pp. 1-6 ◽

Cited By ~ 1

Author(s):

Helio Koiti Kuga ◽

Valdemir Carrara

Keyword(s):

Real Time ◽

Attitude Control ◽

Attitude Determination ◽

Positional Information ◽

Calibration Method ◽

Artificial Satellites ◽

Time Operation ◽

Determination Process ◽

Real Time Operation ◽

Mems Technology

Attitude control of artificial satellites is dependent on information provided by its attitude determination process. This paper presents the implementation and tests of a fully self-contained algorithm for the attitude determination using magnetometers and accelerometers, for application on a satellite simulator based on frictionless air bearing tables. However, it is known that magnetometers and accelerometers need to be calibrated so as to allow that measurements are used to their ultimate accuracy. A calibration method is implemented which proves to be essential for improving attitude determination accuracy. For the stepwise real-time attitude determination, it was used the well-known QUEST algorithm which yields quick response with reduced computer resources. The algorithms are tested and qualified with actual data collected on the streets under controlled situations. For such street runaways, the experiment employs a solid-state magnetoresistive magnetometer and an IMU navigation block consisting of triads of accelerometers and gyros, with MEMS technology. A GPS receiver is used to record positional information. The collected measurements are processed through the developed algorithms, and comparisons are made for attitude determination using calibrated and noncalibrated data. The results show that the attitude accuracy reaches the requirements for real-time operation for satellite simulator platforms.

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