A versatile method for target area coverage analysis with arbitrary satellite attitude maneuver paths

Wang, Huijiang; Bai, Shengzhou

doi:10.1016/j.actaastro.2022.02.008

Cited by 10 publications

(3 citation statements)

References 37 publications

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“…

is a vector pointing from

. The shape matrix of the Earth

is calculated as:

where

km and

km [ 34 , 35 ]. According to [ 15 ], the vector from the camera origin to the Earth horizon point in the camera frame,

, obeys the constraint:

Normalized

is the projection of a horizon point on a unit sphere.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

An Efficient Algorithm for Infrared Earth Sensor with a Large Field of View

Wang

Jin

2022

Sensors

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Infrared Earth sensors with large-field-of-view (FOV) cameras are widely used in low-Earth-orbit satellites. To improve the accuracy and speed of Earth sensors, an algorithm based on modified random sample consensus (RANSAC) and weighted total least squares (WTLS) is proposed. Firstly, the modified RANSAC with a pre-verification step was used to remove the noisy points efficiently. Then, the Earth’s oblateness was taken into consideration and the Earth’s horizon was projected onto a unit sphere as a three-dimensional (3D) curve. Finally, the TLS and WTLS were used to fit the projection of the Earth horizon. With the help of TLS and WTLS, the accuracy of the Earth sensor was greatly improved. Simulated images and on-orbit infrared images obtained via the satellite Tianping-2B were used to assess the performance of the algorithm. The experimental results demonstrate that the method outperforms RANSAC, M-estimator sample consensus (MLESAC), and Hough transformation in terms of speed. The accuracy of the algorithm for nadir estimation is approximately 0.04° (root-mean-square error) when Earth is fully visible and 0.16° when the off-nadir angle is 120°, which is a significant improvement upon other nadir estimation algorithms

show abstract

“…

is a vector pointing from

. The shape matrix of the Earth

is calculated as:

where

km and

km [ 34 , 35 ]. According to [ 15 ], the vector from the camera origin to the Earth horizon point in the camera frame,

, obeys the constraint:

Normalized

is the projection of a horizon point on a unit sphere.…”

Section: Algorithm Descriptionmentioning

confidence: 99%

An Efficient Algorithm for Infrared Earth Sensor with a Large Field of View

Wang

Jin

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…While concerning large region targets, we have to strike a balance between the computational efficiency and the calculation accuracy of the GDAC. Meanwhile, the polygon clipping technique for plane polygon intersection operation has also been utilized to conduct the coverage analysis [33]. It is worth pointing out that a general projection from a spherical to a plane, serving as the basis of clipping, will result in relatively large deformation.…”

Section: A Related Workmentioning

confidence: 99%

Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization

Han

Chen

et al. 2022

IEEE Trans. Aerosp. Electron. Syst.

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The last decades have witnessed a rapid increase of Earth observation satellites (EOSs), leading to the increasing complexity of EOSs scheduling. On account of the widespread applications of large region observation, this article aims to address the EOSs observation scheduling problem for large region targets. A rapid coverage calculation method employing a projection reference plane and a polygon clipping technique is first developed. We then formulate a nonlinear integer programming model for the scheduling problem, where the objective function is calculated based on the developed coverage calculation method. A greedy initialization-based resampling particle swarm optimization (GI-RPSO) algorithm is proposed to solve the model. The adopted greedy initialization strategy and particle resampling method contribute to generating efficient and effective solutions during the Manuscript

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“…The design, implementation, and testing of algorithms for slewing or tracking maneuvers is an active research area, with the final objective of identifying suitable feedback schemes, effective and accurate for autonomous attitude control. Recent contributions highlight the growing interest toward agile attitude maneuvers for remote sensing applications [11][12][13][14]. In particular, Poche et al [13] investigate autonomous guidance for slewing maneuvers, while taking actuator limitations into account.…”

Section: Introductionmentioning

confidence: 99%

Intersatellite and Downlink Agile Attitude Maneuvers

Posani,

Pontani,

Gasbarri

2023

Applied Sciences

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This research is focused on the problem of agile attitude maneuvering, aimed at the precise pointing of a satellite forming a typical constellation in low Earth orbit. We consider two different operational scenarios: (a) pointing toward a specific ground station, located on the Earth surface (for downlink data routing), and (b) pointing toward a companion satellite (for establishing an intersatellite connection). The two preceding operational requirements can both be formulated as attitude tracking problems. In this study, we use an inertia-free nonlinear attitude control algorithm based on rotation matrices and possessing remarkable stability properties, in conjunction with a pyramidal array of single-gimbal control momentum gyroscopes. Numerical simulations, in both nominal and nonnominal flight conditions, demonstrate that the attitude control architecture proposed in this work is effective for the purpose of performing agile attitude maneuvering, aimed at precise pointing during downlink and intersat data routing.

show abstract

A versatile method for target area coverage analysis with arbitrary satellite attitude maneuver paths

Cited by 10 publications

References 37 publications

An Efficient Algorithm for Infrared Earth Sensor with a Large Field of View

An Efficient Algorithm for Infrared Earth Sensor with a Large Field of View

Large region targets observation scheduling by multiple satellites using resampling particle swarm optimization

Intersatellite and Downlink Agile Attitude Maneuvers

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