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Search Results (3)

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Keywords = giant satellite swarm

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13 pages, 3156 KiB  
Article
Fault Reconstruction for a Giant Satellite Swarm Based on Hybrid Multi-Objective Optimization
by Guohua Kang, Zhenghao Yang, Xinyu Yuan and Junfeng Wu
Appl. Sci. 2023, 13(11), 6674; https://doi.org/10.3390/app13116674 - 30 May 2023
Cited by 4 | Viewed by 1549
Abstract
To perform indicator selection and verification for the on-orbit fault reconstruction of a giant satellite swarm, a hybrid multi-objective fault reconstruction algorithm is proposed and then verified by Monte Carlo analysis. First, according to the on-orbit failure analysis of the satellite swarm, several [...] Read more.
To perform indicator selection and verification for the on-orbit fault reconstruction of a giant satellite swarm, a hybrid multi-objective fault reconstruction algorithm is proposed and then verified by Monte Carlo analysis. First, according to the on-orbit failure analysis of the satellite swarm, several optimization indicators, such as the health state of the satellite swarm, the total energy consumption of reconstruction, and the balance of fuel consumption, are proposed. Then, a hybrid multi-objective fitness function is constructed, and a hybrid multi-objective genetic algorithm is used to optimize the objective function to obtain the optimal reconstruction strategy. Finally, the algorithm is statistically verified by Monte Carlo analysis. The simulation results not only show the algorithm’s validity but also reveal the relationship between the number of satellite faults and the health of the satellite swarm. From this, the maximum number of faulty satellites allowed in the giant satellite swarm is calculated, which is significant for assessing the swarm’s health. Full article
(This article belongs to the Special Issue Advanced Fault Diagnosis and Fault-Tolerant Control Technology of Spacecraft)
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13 pages, 1600 KiB  
Article
NC-OFDM Satellite Communication Based on Compressed Spectrum Sensing
by Yong Wang, Hehao Niu, Qingsong Zhao, Lei Wang, Yue Gao and Zhi Lin
Sensors 2022, 22(10), 3800; https://doi.org/10.3390/s22103800 - 17 May 2022
Cited by 2 | Viewed by 2438
Abstract
With the fast development of giant LEO constellations, the effective spectrum utilization has been regarded as one of the key orientations for satellite communications. This paper focuses on improving the spectrum utilization efficiency of satellite communications by proposing a non-continuous orthogonal frequency division [...] Read more.
With the fast development of giant LEO constellations, the effective spectrum utilization has been regarded as one of the key orientations for satellite communications. This paper focuses on improving the spectrum utilization efficiency of satellite communications by proposing a non-continuous orthogonal frequency division multiplexing (NC-OFDM) method. Based on the models of NC-OFDM system, we first propose a sub-carrier allocation method by using spectrum sensing to efficiently perceive and utilize the spectrum holes in the satellite communication system. Then, a hybrid genetic particle swarm optimization method is adopted to allocate the channel resources effectively. Finally, simulation results verify that the proposed algorithm can significantly improve the spectrum efficiency of satellite communications. Full article
(This article belongs to the Special Issue Integration of Satellite-Aerial-Terrestrial Networks)
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21 pages, 13402 KiB  
Article
A Study of Distributed Earth Observation Satellites Mission Scheduling Method Based on Game-Negotiation Mechanism
by Lihao Liu, Zhenghong Dong, Haoxiang Su and Dingzhan Yu
Sensors 2021, 21(19), 6660; https://doi.org/10.3390/s21196660 - 7 Oct 2021
Cited by 9 | Viewed by 3097
Abstract
While monolithic giant earth observation satellites still have obvious advantages in regularity and accuracy, distributed satellite systems are providing increased flexibility, enhanced robustness, and improved responsiveness to structural and environmental changes. Due to increased system size and more complex applications, traditional centralized methods [...] Read more.
While monolithic giant earth observation satellites still have obvious advantages in regularity and accuracy, distributed satellite systems are providing increased flexibility, enhanced robustness, and improved responsiveness to structural and environmental changes. Due to increased system size and more complex applications, traditional centralized methods have difficulty in integrated management and rapid response needs of distributed systems. Aiming to efficient missions scheduling in distributed earth observation satellite systems, this paper addresses the problem through a networked game model based on a game-negotiation mechanism. In this model, each satellite is viewed as a “rational” player who continuously updates its own “action” through cooperation with neighbors until a Nash Equilibria is reached. To handle static and dynamic scheduling problems while cooperating with a distributed mission scheduling algorithm, we present an adaptive particle swarm optimization algorithm and adaptive tabu-search algorithm, respectively. Experimental results show that the proposed method can flexibly handle situations of different scales in static scheduling, and the performance of the algorithm will not decrease significantly as the problem scale increases; dynamic scheduling can be well accomplished with high observation payoff while maintaining the stability of the initial plan, which demonstrates the advantages of the proposed methods. Full article
(This article belongs to the Special Issue Metaheuristic Algorithms–an Effective Way to Optimize the Behaviour of the Dynamical System)
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