Reducing Systematic Centroid Errors Induced by Fiber Optic Faceplates in Intensified High-Accuracy Star Trackers

Xiong, Kun; Jiang, Jie

doi:10.3390/s150612389

Cited by 7 publications

(4 citation statements)

References 15 publications

(15 reference statements)

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“…Wang et al proposed a novel method for accurate, autonomous and real-time orbit determinations for geo-referencing with a standalone global positioning system receiver [ 5 ]. Xiong et al addressed systematic centroid errors and poor attitude accuracy by augmenting star trackers with an image intensifier [ 6 ]. Kim et al proposed an algorithm for determining the orbit of a geostationary satellite using single-epoch measurements from a global positioning system receiver with sparse visibility of the global positioning system satellites [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

Proposals for Surmounting Sensor Noises

Pittella

Sands

2023

Sensors

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Classical and optimal control architectures for motion mechanics in the presence of noisy sensors use different algorithms and calculations to perform and control any number of physical demands, to varying degrees of accuracy and precision in regards to the system meeting the desired end state. To circumvent the deleterious effects of noisy sensors, a variety of control architectures are suggested, and their performances are tested for the purpose of comparison through the means of a Monte Carlo simulation that simulates how different parameters might vary under noise, representing real-world imperfect sensors. We find that improvements in one figure of merit often come at a cost in the performance in the others, especially depending on the presence of noise in the system sensors. If sensor noise is negligible, open-loop optimal control performs the best. However, in the overpowering presence of sensor noise, using a control law inversion patching filter performs as the best replacement, but has significant computational strain. The control law inversion filter produces state mean accuracy matching mathematically optimal results while reducing deviation by 36%. Meanwhile, rate sensor issues were more strongly ameliorated with 500% improved mean and 30% improved deviation. Inverting the patching filter is innovative but consequently understudied and lacks well-known equations to use for tuning gains. Therefore, such a patching filter has the additional drawback of having to be tuned through trial and error.

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Section: Introductionmentioning

confidence: 99%

Proposals for Surmounting Sensor Noises

Pittella

Sands

2023

Sensors

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“…Wang, et al proposed a novel method for accurate, autonomous and real-time orbit determinations for geo-referencing with a standalone global positioning system receiver [4]. Xiong, et al addressed systematic centroid errors and poor attitude accuracy by augmenting star trackers with an image intensifier [5]. Kim, et al proposed an algorithm for determining the orbit of a geostationary satellite using single-epoch measurements from a global positioning system receiver with sparse visibility of the global positioning system satellites [6].…”

Section: Introductionmentioning

confidence: 99%

Proposals for Surmounting Sensor Noises

Pittella¹,

Sands²

2022

Preprint

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Classical and optimal control architectures for motion mechanics with fusion of noisy sensors use different algorithms and calculations to perform and control any number of physical demands, to varying degrees of accuracy, precision, and cost. Their performances are tested for the purpose of comparison through the means of a Monte Carlo simulation that simulates how different parameters might vary under noise, representing real-world imperfect sensors. We find that improvements in one figure of merit often come at a cost in the performance in the others, especially depending on the presence of noise in the system sensors. If sensor noise is negligible, open-loop optimal control performs the best. However, in the overpowering presence of sensor noise, using a control law inversion patching filter performs as the best replacement, but has significant computational strain.

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“…On the other hand, the spacecraft attitude determination method based on star sensors obtains the vector information of the observed star through star sensor measurements; after the image centroiding [12][13][14] and star identification processes [15,16], the navigation star vector information of the corresponding celestial coordinate system is identified. Through the use of the corresponding attitude determination algorithm [16][17][18], the attitude of the spacecraft in the relative celestial coordinate system is determined.…”

Section: Introductionmentioning

confidence: 99%

Angular velocity estimation using characteristics of star trails obtained by star sensor for spacecraft

Ning

Chen

Huang

et al. 2020

Sci. China Inf. Sci.

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Many studies have been conducted about angular velocity estimation using star sensors, and fairly good performance is achieved when the spacecraft is working at low-dynamic environments. However, when the spacecraft rotates at a large angular velocity, the star image will become blurred, which makes it difficult to identify and recognize star centroids, which, in turn, reduces the accuracy of angular velocity estimation. Therefore, to solve the problem with angular velocity estimation in highly dynamic situations, this research studies a method of angular velocity estimation using blurred star images. The length and ending point coordinates of star trails obtained from these blurred star images are used for a series of processes, which includes the pre-processing of blurred star images, determination of starting and ending points, thinning and selection of star trails, and calculation of trail lengths. Simulations show that the effectiveness of the proposed method in highly dynamic situations and the angular velocity estimation errors in constant and sinusoidal variation are reduced by at least 66% and 62%, respectively, compared with those of the traditional method.

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Reducing Systematic Centroid Errors Induced by Fiber Optic Faceplates in Intensified High-Accuracy Star Trackers

Cited by 7 publications

References 15 publications

Proposals for Surmounting Sensor Noises

Proposals for Surmounting Sensor Noises

Proposals for Surmounting Sensor Noises

Angular velocity estimation using characteristics of star trails obtained by star sensor for spacecraft

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