Pointing-Error Correction of Optical Communication Terminals on Motion Platforms Based on a K-Nearest Neighbor Algorithm

Peng, Chao; He, Dong; Huang, Yongmei; Wang, Yuankang; Wang, Zihao; Wang, Qiang; Liu, Xiang; Ma, Haotong

doi:10.1109/jphot.2022.3220400

Cited by 5 publications

(2 citation statements)

References 16 publications

(21 reference statements)

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“…Liu and Huang, respectively, employed the compensated least square method to estimate and correct the nonlinear errors of aerial cameras and telescopes [16,17]. Additionally, Peng et al applied the K-Nearest Neighbor Algorithm and kernel weight function to achieve successful correction of pointing errors in optical communication terminals [18,19]. The non-parametric regression analysis method does not necessitate intricate modeling.…”

Section: Introductionmentioning

confidence: 99%

Pointing Error Correction for Vehicle-Mounted Single-Photon Ranging Theodolite Using a Piecewise Linear Regression Model

Gao,

Wang,

Wang

et al. 2024

Sensors

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Pointing error is a critical performance metric for vehicle-mounted single-photon ranging theodolites (VSRTs). Achieving high-precision pointing through processing and adjustment can incur significant costs. In this study, we propose a cost-effective digital correction method based on a piecewise linear regression model to mitigate this issue. Firstly, we introduce the structure of a VSRT and conduct a comprehensive analysis of the factors influencing its pointing error. Subsequently, we develop a physically meaningful piecewise linear regression model that is both physically meaningful and capable of accurately estimating the pointing error. We then calculate and evaluate the regression equation to ensure its effectiveness. Finally, we successfully apply the proposed method to correct the pointing error. The efficacy of our approach has been substantiated through dynamic accuracy testing of a 450 mm optical aperture VSRT. The findings illustrate that our regression model diminishes the root mean square (RMS) value of VSRT’s pointing error from 17″ to below 5″. Following correction utilizing this regression model, the pointing error of VSRT can be notably enhanced to the arc-second precision level.

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Section: Introductionmentioning

confidence: 99%

Pointing Error Correction for Vehicle-Mounted Single-Photon Ranging Theodolite Using a Piecewise Linear Regression Model

Gao,

Wang,

Wang

et al. 2024

Sensors

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“…Other studies such as [12,13] have used filters and algorithms with the aim of improving the accuracy of the LOS's pointing, reducing the size of the field of uncertainty, and providing reference and guidance for the design of space optical communication systems.…”

Section: Introductionmentioning

confidence: 99%

Development of a Numerical Simulation Model to Support the Design of a Ship–Satellite Communication System for Autonomous Marine Navigation

Del Mondo,

Seriani,

Gallina

et al. 2023

Remote Sensing

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In recent years, the concept of autonomous navigation systems has gained substantial significance, with the potential to change the traditional concept of autonomous navigation. The presented numerical simulation investigates the feasibility of a ship’s autonomous navigation system through a laser communication infrastructure handled by a two-degrees-of-freedom (DoFs) acquisition, tracking and pointing (ATP) system able to enable ship–satellite data transmission. The methodology introduced presents the geometrical and kinematic delineation of the model, coupled with the implemented control system, aimed at assessing the pointing accuracy. The minimum requested pointing accuracy is 100 µrad and the analysis highlights the need of using methodologies to reduce the pointing error. Two approaches are investigated to examine a possible improvement of the system, and results show that the pointing phase is influenced less by ship motions and more by errors that occur during the satellite’s positioning and the ship motion acquisition process. A trade-off in choosing parameters to improve the system’s accuracy leads to a satellite’s first targeting time of 0.25 s alongside the probability of hitting the target once every 0.0013 s. The reliability of the system is evaluated through a brief sizing of the optical electromechanical component of the system using the trade-off parameters chosen to improve the pointing phase accuracy.

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6G Wireless Technologies

D’Andrea,

Jornet,

Singh

et al. 2024

The Road Towards 6G: Opportunities, Challenges, and Applications

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Pointing-Error Correction of Optical Communication Terminals on Motion Platforms Based on a K-Nearest Neighbor Algorithm

Cited by 5 publications

References 16 publications

Pointing Error Correction for Vehicle-Mounted Single-Photon Ranging Theodolite Using a Piecewise Linear Regression Model

Pointing Error Correction for Vehicle-Mounted Single-Photon Ranging Theodolite Using a Piecewise Linear Regression Model

Development of a Numerical Simulation Model to Support the Design of a Ship–Satellite Communication System for Autonomous Marine Navigation

6G Wireless Technologies

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