Review of space relative navigation based on angles-only measurements

Gong, Baichun; Wang, Sha; Li, Shuang; Li, Xianqiang

doi:10.1007/s42064-022-0152-2

Cited by 23 publications

(4 citation statements)

References 52 publications

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“…In this process, the acquisition of attitude information of the 3-DOF air-floated platform is crucial, which corresponds to the measurement of attitude information of satellites in real space scenarios. Inspired by references [24,25], the acquisition of satellite attitude information also needs to take into account the influence of white Gaussian noise. Thus, the EKF filtering algorithm needs to be used to eliminate the influence of noise and obtain accurate attitude information.…”

Section: Simulationsmentioning

confidence: 99%

Prescribed Performance Spacecraft Attitude Control with Multiple Convergence Rates

Gui,

Dai,

Zhang

et al. 2024

Symmetry

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This paper proposes a prescribed performance control policy for spacecraft attitude tracking control. The designed controller employs a kind of performance envelope function that can configure the convergence rate arbitrarily. Moreover, the controller design is based on the barrier Lyapunov function and indirect adaptive methods, which can suppress the fluctuation of external disturbances to obtain lower steady-state errors. Compared to prior studies on spacecraft attitude tracking, the proposed policy can arbitrarily configure the system convergence performance to achieve performance trade-offs in different scenarios. Moreover, the barrier Lyapunov function design and adaptive methods can achieve low steady-state errors with low computational resource consumption. Simulations that verify its effectiveness and superiority are provided herein.

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Section: Simulationsmentioning

confidence: 99%

Prescribed Performance Spacecraft Attitude Control with Multiple Convergence Rates

Gui,

Dai,

Zhang

et al. 2024

Symmetry

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“…Among them, the optical detection method is widely used due to its long detection distance, high-accuracy lineof-sight angle detection, and good concealment. Nevertheless, optical cameras can only capture targetobservation satellite relative angle information without distance information, which is called the IOD problem under angle-only measurement conditions [2] .…”

Section: Introductionmentioning

confidence: 99%

Simulated annealing-particle swarm optimization initial orbit determination method for too-short-arcs

Li,

Xie,

Zhang

et al. 2024

J. Phys.: Conf. Ser.

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The initial orbit determination (IOD) of a non-cooperative satellite through space-based optical angle-only measurement data is a fundamental task. However, due to the lack of relative distance information of the targets, traditional methods have problems with poor accuracy and robustness in orbit determination results. The application of particle swarm optimization algorithm for IOD under optical too-short-arcs (TSA) measurement data has achieved good results. However, there is still a problem of convergence to local extremum. This article proposes a simulated annealing-particle swarm optimization (SA-PSO) hierarchical algorithm, which combines the efficient searchability of particle swarm optimization with the fine searchability of simulated annealing algorithm to achieve robust and precise optimization of non-cooperative targets orbit elements. The experimental results show the SA-PSO algorithm significantly improves the accuracy of orbit elements prediction compared to the particle swarm optimization algorithm and proves its effectiveness.

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“…The drastic increase of LEO (Low Earth Orbit) Resident Space Objects (RSOs), particularly orbital debris, necessitates the development of sophisticated space surveillance systems. To meet this demand, optical spacebased surveillance networks have emerged as a highly promising complement to traditional radar-based systems [1,9]. These optical networks offer numerous advantages, including high-resolution capabilities for tracking smaller objects, cost-effectiveness, all-weather operability, realtime and continuous observation capabilities, and potential for scientific research.…”

Section: Introductionmentioning

confidence: 99%

A PCA-SVM Regression Model for LEO Space Debris Orbit Prediction in an Optical Space-Based Space Surveillance Network

Hamidian,

Kosari

2024

IEEE Access

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The primary objective of this study is to investigate the efficacy of Support Vector Machine (SVM) regression method to enhance the accuracy of Low Earth Orbit (LEO) space debris orbit prediction using the historical data. Principal Component Analysis (PCA) is employed to efficiently reduce the dimensionality of dataset's feature space and hence optimize the model's performance. This investigation is motivated by the limitations of conventional orbit prediction methods, which often rely on dynamic models with unknown coefficients of perturbation forces and other relevant characteristics of space debris, leading to errors during the prediction process. On the other hand, while the Collision Avoidance Maneuver (CAM) strategy remains crucial for mitigating the threat posed by such debris, precise knowledge of debris coordinates is essential for effective CAM implementation. However, traditional ground-based optical equipment encounters challenges in observing fastmoving debris within the dynamic LEO environment, including atmospheric interference and limited Field of View (FOV). To address these limitations, the secondary objective of this study involves exploring the potential of an in-orbit optical space surveillance network as a promising solution. The system utilizes optical sensors distributed across multiple spacecraft within the Above the Horizon (ATH) constellation, specifically designed to continuously monitor the most densely populated altitude band in LEO. Simulations under different conditions demonstrate that the proposed scheme successfully complements groundbased equipment and dynamic models for debris tracking, thereby improving orbit prediction accuracy. The results of simulations under different conditions demonstrate that proposed scheme successfully complements ground-based equipment and dynamic models for debris tracking, and improving orbit prediction accuracy.

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Review of space relative navigation based on angles-only measurements

Cited by 23 publications

References 52 publications

Prescribed Performance Spacecraft Attitude Control with Multiple Convergence Rates

Prescribed Performance Spacecraft Attitude Control with Multiple Convergence Rates

Simulated annealing-particle swarm optimization initial orbit determination method for too-short-arcs

A PCA-SVM Regression Model for LEO Space Debris Orbit Prediction in an Optical Space-Based Space Surveillance Network

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