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A Large-Scale Scheduling Method for Multiple Agile Optical Satellites

Computer Modeling in Engineering & sciences 2023年第8期136卷 1143-1163页

作者： Zheng Liu Wei Xiong Minghui Xiong Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering UniversityBeijing101416China

This study investigates the scheduling problem ofmultiple agile optical satelliteswith large-scale *** problem is difficult to solve owing to the time-dependent characteristic of agile optical satellites,complex constraints,and considerable solution *** solve the problem,we propose a scheduling method based on an improved sine and cosine algorithm and a task merging *** first establish a scheduling model with task merging constraints and observation action constraints to describe the ***,an improved sine and cosine algorithm is proposed to search for the optimal solution with the maximum profit *** adaptive cosine factor and an adaptive greedy factor are adopted to improve the ***,a taskmerging method with a task reallocation mechanism is developed to improve the scheduling *** results demonstrate the superiority of the proposed algorithm over the comparison algorithms.

关键词： Multiple agile optical satellites scheduling task merging sine and cosine algorithm task reallocation

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An Evaluation Method based on Fuzzy Model for the Autonomous and Controllable of the Spacecraft Component Production 24

An Evaluation Method based on Fuzzy Model for the Autonomous...

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8th International Conference on Computer science and Application Engineering, CSAE 2024

作者： Hongxing, Hao Ronghuan, Yu Jing, Guo Huaquan, Hu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Huairou Beijing China

ISBN: (纸本)9798400718090

The Autonomous and controllable of the spacecraft component is of great importance for the development of our space industry. The key step of the spacecraft component is the production. Many researchers focus on the estimation of the autonomous and controllable of the spacecraft component production. This paper model the evaluation method including the construction of the evaluation index system and the estimation method. The proposed estimation method is based on the fuzzy model to synthesize the qualitative, quantitative indicators and the according weights. Compared to mapping the qualitative value to a fixed number, the proposed method avoids the effect of the subjectivity. The experimental results show that the proposed method tend to think highly of the quantitative values when the qualitative values are not very too much so as to avoid the effect of the subjectivity for the qualitative indicators in the evaluation. © 2024 Copyright held by the owner/author(s).

关键词： Aerospace industry

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A Light Gradient Boosting Machine Based Effectiveness Prediction Method of Space Reconnaissance system 7

A Light Gradient Boosting Machine Based Effectiveness Predic...

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7th IEEE Advanced Information technology, electronic and Automation Control Conference, IAEAC 2024

作者： Liu, Jiahuan Jian, Ping Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9798350339161

To address the problem of effectiveness evaluation of space reconnaissance systems with limited data sets, vast array of indexes and inadequate model interpretability, an interpretable effectiveness prediction method based on Light Gradient Boosting Machine(LightGBM) and the Shapley Additive exPlanations(SHAP) is proposed. The thorough evaluation process is given and the index system of space reconnaissance systems is built. Then LightGBM is used to establish a nonlinear mapping the model between the indexes and the effectiveness. Additionally, the model's hyperparameters are adjusted using Bayesian optimization to improve accuracy and lessen computational load. Furthermore, the feasibility of the proposed method is validated by modeling and evaluating the performance of the space reconnaissance system under a particular operational scenario. The experimental results show that compared with other mainstream machine learning methods, the proposed method has higher prediction accuracy and can efficiently extract the potential characteristics of the space reconnaissance system. © 2024 IEEE.

关键词： Forecasting

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Support vector regression-based operational effectiveness evaluation approach to reconnaissance satellite system

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Journal of systems Engineering and electronics 2023年第6期34卷 1626-1644页

作者： HAN Chi XIONG Wei XIONG Minghui LIU Zhen College of Aerospace Information Space Engineering UniversityBeijing 101400China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering UniversityBeijing 101400China

As one of the most important part of weapon system of systems(WSoS),quantitative evaluation of reconnaissance satellite system(RSS)is indispensable during its construction and *** at the problem of nonlinear effectiveness evaluation under small sample conditions,we propose an evaluation method based on support vector regression(SVR)to effectively address the defects of traditional *** the performance of SVR is influenced by the penalty factor,kernel type,and other parameters deeply,the improved grey wolf optimizer(IGWO)is employed for parameter *** the proposed IGWO algorithm,the opposition-based learning strategy is adopted to increase the probability of avoiding the local optima,the mutation operator is used to escape from premature convergence and differential convergence factors are applied to increase the rate of *** experiments of 14 test functions validate the applicability of IGWO algorithm dealing with global *** index system and evaluation method are constructed based on the characteristics of *** validate the proposed IGWO-SVR evaluation method,eight benchmark data sets and combat simulation are employed to estimate the evaluation accuracy,convergence performance and computational *** to the experimental results,the proposed method outperforms several prediction based evaluation methods,verifies the superiority and effectiveness in RSS operational effectiveness evaluation.

关键词： reconnaissance satellite system(RSS) support vector regression(SVR) gray wolf optimizer opposition-based learning parameter optimization effectiveness evaluation

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An agile optical satellite scheduling method based on transformer networks 3

An agile optical satellite scheduling method based on transf...

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3rd International Conference on electronic Information Engineering, Big Data, and Computer technology, EIBDCT 2024

作者： Liu, Zheng Wei, Xiong Jian, Ping Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781510680449

With the surge of earth observation demands, the agile optical satellite scheduling has become a practical problem, which is hard to solve owing to the huge solution space and complex constraints. This paper proposes an agile optical satellite scheduling method based on Transformer networks to tackle this problem. A network model based on Transformer networks is proposed to generate high-quality solutions, and a masking mechanism is designed to improve the generation process. An Actor-Critic training algorithm is adopted to train the proposed network model. Experimental results show that the proposed algorithm outperforms three comparison algorithms in terms of training effect, solving ability, and computing efficiency. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Reinforcement learning

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A TOPSIS-based Approach to Evaluating Remote Sensing Satellite Mission Planning Schemes

A TOPSIS-based Approach to Evaluating Remote Sensing Satelli...

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2022 International Conference on Geographic Information and Remote Sensing technology, GIRST 2022

作者： Liu, Desheng Chang, Qing Yang, Yang Wang, Yi Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781510662186

Remote sensing satellite mission planning is one of the hot issues in the space engineering research field, and a large number of mission planning approaches have been proposed in related research work. Numerous mission planning schemes were constructed for different mission requirements. How to evaluate the merits of the schemes is of great significance to improve the quality and effectiveness of remote sensing satellite missions. Based on the analysis of the basic problems of remote sensing satellite mission planning, a technology framework of mission scheme evaluation is proposed, and an evaluation index system for remote sensing mission planning schemes is constructed, including mission completion rate, planning timeliness and resources occupancy. A TOPSIS-based evaluation model is proposed to calculate the valuation of mission scheme according to the index system. The case study shows that the mission planning scheme evaluation approach proposed in this paper is feasible and effective. © 2023 SPIE.

关键词： Engineering research

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A Probe Set Determination Method Based on Spanning Tree Algorithm 23

A Probe Set Determination Method Based on Spanning Tree Algo...

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7th International Conference on High Performance Compilation, Computing and Communications, HP3C 2023

作者： Hongxing, Hao Ronghuan, Yu Jing, Guo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (纸本)9781450399883

With the rapid development of network technologies such as the Internet of Things, the scale of networks has gradually increased. The P2P networks have been gradually studied, and fault detection and localization for large-scale networks have become a hot research topic. Generally, probes are usually used to quickly locate the fault nodes, but the ability to locate network faults is determined by the choice of probes. This paper studies the probe set determination problem and proposes the criteria named segmentation entropy to judge the probe set. Then a probe set determination method is proposed which does not require a candidate set and performs better than the random probe selection algorithm. Experimental results proves that the proposed algorithm can quickly obtain excellent probe sets. © 2023 ACM.

关键词： Probes

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Research on Requirement Analysis Method of Space Equipment technology system based on capability 7

Research on Requirement Analysis Method of Space Equipment T...

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7th IEEE Information technology and Mechatronics Engineering Conference, ITOEC 2023

作者： Jian, Ping Xiong, Wei Liu, Desehng Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9798350334197

"Demand traction and technology promotion"is the main law of equipment system construction and development. Scientific determination and quantitative evaluation of key technologies in the field of military equipment is the key and difficult point of system macro demonstration. Based on the analysis of the technical structure of space information equipment technology, this paper proposes a capability-based requirement analysis framework and process of space information equipment technology system, establishes a requirement analysis model of technology system, and constructs its technical system by taking space situation awareness system as an example. It provides technical basis for the requirement analysis of space information equipment technology system. © 2023 IEEE.

关键词： Construction equipment

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Hyperspectral Image Anomaly Detection Based on Auto Encoder 4

Hyperspectral Image Anomaly Detection Based on Auto Encoder

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4th International Conference on Geoscience and Remote Sensing Mapping, GRSM 2022

作者： Li, Guanzhe Wu, Lingda Hao, Hongxing Science and Technology on Complex Electronic System Simulation Laboratory Space engineering university Beijing China

ISBN: (数字)9781510662179

ISBN: (纸本)9781510662162

The reason for the existence of small targets and sub-pixel targets in hyperspectral images is that the low spatial resolution leads to the phenomenon of mixed pixels, which makes some targets exist in the form of small targets and sub-pixel targets in the image. Moreover, the traditional anomaly detection algorithm introduces the regularization parameter into hyperspectral anomaly detection, but the regularization parameter needs to be manually set and adjusted. However, since the anomaly detection is carried out without prior information, in real situations, it is difficult to obtain the prior information of the target, so the regularization parameter may be difficult to determine. In addition, considering that traditional algorithms are not sensitive to small target pixel targets, a hyperspectral anomaly detection network based on self encoder is designed for hyperspectral images with small targets and sub-pixel targets. © 2023 SPIE.

关键词： Anomaly detection

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Optimization of radar reconnaissance constellation based on fuzzy relative entropy 6

Optimization of radar reconnaissance constellation based on ...

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6th International Conference on Advanced electronic Materials, Computers, and Software Engineering, AEMCSE 2023

作者： Liu, Yali Xiong, Wei Han, Chi Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781510668249

The optimization of radar reconnaissance constellation is of great significance for reconnaissance timeliness. In order to solve the problems of insufficient selection pressure and poor diversity of the evolutionary algorithm based on Pareto domination in solving the many-objective optimization problem of radar reconnaissance constellation, an imporved particle swarm optimization based on fuzzy relative entropy (IFREM_PSO) is proposed. A new inertial weight strategy is proposed to enhance the convergence speed and accuracy of the algorithm, improve the external archive maintenance strategy, and enhance the convergence and diversity of the algorithm. The optimization model of radar imaging reconnaissance constellation oriented to area reconnaissance is constructed. The IFREM_PSO is used to optimize the model, and the multi-objective particle swarm optimization algorithm (MOPSO) is used as the control algorithm. Experiments show that the IFREM_PSO has better results in terms of convergence, diversity and convergence speed, and can effectively solve the problem of radar reconnaissance constellation optimization. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Entropy

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