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Multi-Targets Visiting Orbit Design Based on Numerical Method

Guidance,Navigation and Control 2025年第1期05卷 139-148页

作者： Zenan Zhong Zhengxiang Sun Songyan Wang Tao Chao Ming Yang Control and Simulation Center Harbin Institute of Technology National Key Laboratory of Modeling and Simulation for Complex Systems Harbin Institute of Technology Beijing Institute of Space Long March Vehicle

In this paper, for the two/three targets in the circle orbit with the same altitude, a numerical method is presented to design an orbit for a spacecraft to visit multiple targets without maneuvering. First,for the two targets' case, an equation is established by the relationship of the two angles that both are the function of the time, one of the angles is the angle between two targets' geocentric position vectors at two times, and another one is the spacecraft flight angle during the two times. The visit time can be solved by the assumption that one of the visit times is known in the equation, and the orbit element can be transferred from the position and velocity vector determined by the solved visit time. Then, for the three targets' case, the problem is decoupled into two cases of two targets, and there is a public target in each case. Based on the method for two targets, two different orbits can be obtained by determining the visit time of the public target. The difference between two orbits can be expressed by the difference in velocity vectors of the public target at different times. A sampling method is utilized to select two velocity vectors with relatively small differences as initial values, the Newton iteration method is used to obtain visit times with higher accuracy. simulation results illustrate the effectiveness of the orbit design methods.

关键词： Orbit design method multiple targets visit circle orbit non-maneuvering

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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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High-Temperature Heat Flux Sensor Based on Composite Ceramic Thermal Resistance Layer

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IEEE Sensors Journal 2025年第9期25卷 14668-14677页

作者： Pang, Junqi Shang, Ze Zhang, Lei Qin, Yongqiang Zhang, Xiangxiang Ma, Hongshuai Tan, Qiulin North University of China Key Laboratory of Micro/Nano Devices and Systems Ministry of Education Taiyuan030051 China Science and Technology on Space Physics Technology Laboratory Beijing100076 China

Surface heat flux density is critical for aerospace components, especially engine blades and turbine disks that operate at high temperatures. Conventional water-cooled sensors are impractical for in situ testing, and thin-film heat flux sensors (HFSs) have limited high-temperature durability. To overcome those shortcomings, this study proposes a design method for the high-temperature HFS (HTHFS) that eliminates the need for a water-cooled structure and has excellent high?temperature performance. The HTHFS features a three-layer coated structure comprising a 99% Al2O3 ceramic substrate, PtRh10/Pt thermopile sensitive layer, and composite ceramic thermal resistance layer (TRL). The effective hot junctions of the HTHFS contact the heat source directly, while the rest of the sensor surface is coated with the TRL of low thermal conductivity and high temperature resistant. The proposed design improves the oxidation resistance, sensitivity, and transient response. The HTHFS was fabricated using screen-printing and air spraying processes. Repeatability, stability, and temperature resistance test results for the HTHFS reveal that the average heat flux at 1400 ?C was 403.27 kW/m2 , with a sensitivity of 3.58 V/(kW/m2 ). The dynamic response time (T90), measured via the laser impulse response method, was 1.08 ms. Notably, the HTHFS operated at 1400 ?C for more than 5 h without failure. Characterized by low thermal impedance, high-temperature resistance, rapid response, and high reliability, the HTHFS can accurately measure the heat flux, making it highly valuable for in situ sensing applications in high-temperature aerospace components. © 2001-2012 IEEE.

关键词： Screen printing

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High-precision magnetic field measurement system based on a coherent population trapping magnetometer onboard the SATech-01 satellite

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science China(Technological sciences) 2025年第2期68卷 227-242页

作者： Hongbo XUE Wei SONG Haoran ZHAO Yiteng ZHANG Shanzhi YE Jindong WANG Ran TAO Peng SANG Keli CHEN Xingzi BI Bingjun CHENG Bin ZHOU Yongliang XUE Yingying TANG Liu LIU Jinsong LI Xiaocheng ZHU Baoquan LI Jinguo LIU Wen CHEN Xiaofeng ZHANG Yonghe ZHANG Lei LI State Key Laboratory of Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China Key Laboratory of Solar Activity and Space Weather National Space Science CenterChinese Academy of SciencesBeijing 100190China Key Laboratory of Electronics and Information Technology for Space Systems National Space Science CenterChinese Academy of SciencesBeijing 100190China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesShenyang 110016China Innovation Academy for Microsatellites Chinese Academy of SciencesShanghai 201304China

On July 27,2022,a high-precision system for measuring the magnetic field based on a coherent population trapping magnetometer(referred to as the CPT system)was launched onboard the space Advanced technology demonstration satellite(SATech-01)by a ZK-1A *** payload comprises a scalar coherent population trapping magnetometer(CPTM),triaxial anisotropic magnetoresistance magnetometer(AMRM),and nano star tracker mounted on a non-magnetic telescopic tubular *** configuration enables synchronized measurement of scalar and vector geomagnetic fields,as well as the attitude,making the payload with its compact sensors suitable for applications on miniature satellite *** November 7,2022,the novel telescopic tubular mast was deployed in orbit,extending to a length of 5.28 *** CPTM,an absolute scalar magnetometer with an omnidirectional sensor,is the first China-developed quantum/atomic magnetometer successfully operating in *** orbit,the CPTM has sensitivity of~10 pT/Hz^(1/2) and can automatically operate under complex magnetic field *** difference between the scalar fields obtained using the CPTM and CHAOS model has a mean deviation of -3.73 nT and a standard deviation of 26.11 nT(1σ),without on-orbit calibration or *** miniaturized AMRM has a sensitivity of~0.3 nT/Hz^(1/2) and maintains stable and reliable operation in *** low-power and miniaturized nano star tracker has a measurement uncertainty of 14.23″(1σ)in *** mission has realized the on-orbit technical verification of the integrated and synchronized detection of the vector magnetic field and attitude and fully validated the system’s performance,automation level,and reliability.

关键词： magnetic field measurement system coherent population trapping magnetometer anisotropic magnetoresistance magnetometer nano star tracker non-magnetic telescopic tubular mast satellite

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Pronounced advance on typhoon track forecast with global convection-permitting model

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science Bulletin 2025年第9期70卷 1424-1428页

作者： Gu, Jun Zhao, Chun Li, Gudongze Feng, Jiawang Xu, Mingyue Du, Qiuyan Xia, Zihan Li, Yubin Chen, Guanghua Hao, Xiaoyu Chen, Junshi An, Hong Deep Space Exploration Laboratory/School of Earth and Space Sciences/CMA-USTC Laboratory of Fengyun Remote Sensing/State Key Laboratory of Fire Science/Institute of Advanced Interdisciplinary Research on High-Performance Computing Systems and Software University of Science and Technology of China Hefei230026 China Laoshan Laboratory Qingdao266237 China CAS Center for Excellence in Comparative Planetology University of Science and Technology of China Hefei230026 China School of Atmospheric Physics Nanjing University of Information Science and Technology Nanjing210044 China Key Laboratory of Cloud-Precipitation Physics and Severe Storms Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

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Multi-scale Dilated Attention-based Generative Adversarial Network for Infrared and Visible Image Fusion

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Current Optics and Photonics 2025年第2期9卷 120-129页

作者： Yang, Shunyuan Shi, Xiaoping Huo, Ju Sun, Kangjian Wang, Yu School of Astronautics Harbin Institute of Technology Harbin150001 China National Key Laboratory of Modeling and Simulation for Complex Systems Harbin150001 China School of Electrical Engineering and Automation Harbin Institute of Technology Harbin150001 China Shanghai Space Propulsion Technology Research Institute Shanghai201109 China

In the field of optics, infrared and visible images are often required for use in different situations. In particular, in the field of optical sensors, infrared and visible sensors are mainly used to obtain different band images, which are applied to improve the comprehensive information content of images and to improve the quality and availability of images. In existing infrared and visible image fusion methods, the focus is often placed on retaining the background information from visible images and the salient targets from infrared images. To address this issue, we introduce a multi-scale dilated attention module into the encoder-decoder structure of the generator. By applying dilated convolution and selfattention mechanisms, this module improves the perceptual capability of the model, thereby improving performance without increasing network complexity. This design emphasizes gradient information and detailed features in visible images. Experimental results on the public TNO dataset demonstrate that our method achieves superior visual quality and preserves the most abundant image information. Moreover, experiments on spacecraft images validate the robustness and applicability of our approach. Simultaneously, our method also provides significant technical support for the optical field. © 2025 Current Optics and Photonics.

关键词： Image coding

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Delay bounded routing with the maximum belief degree for dynamic uncertain networks

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Journal of systems Engineering and Electronics 2025年第1期36卷 127-138页

作者： MA Ji KANG Rui LI Ruiying ZHANG Qingyuan LIU Liang WANG Xuewang School of Reliability and Systems Engineering Beihang UniversityBeijing 100191China Science and Technology on Reliability and Environmental Engineering Laboratory Beijing 100191China International Innovation Institute Beihang UniversityHangzhou 311115China Institute of Telecommunication and Navigation Satellites China Academy of Space TechnologyBeijing 100094China

Delay aware routing is now widely used to provide efficient network transmission. However, for newly developing or developed mobile communication networks(MCN), only limited delay data can be obtained. In such a network, the delay is with epistemic uncertainty, which makes the traditional routing scheme based on deterministic theory or probability theory not applicable. Motivated by this problem, the MCN with epistemic uncertainty is first summarized as a dynamic uncertain network based on uncertainty theory, which is widely applied to model epistemic uncertainties. Then by modeling the uncertain end-toend delay, a new delay bounded routing scheme is proposed to find the path with the maximum belief degree that satisfies the delay threshold for the dynamic uncertain network. Finally, a lowEarth-orbit satellite communication network(LEO-SCN) is used as a case to verify the effectiveness of our routing scheme. It is first modeled as a dynamic uncertain network, and then the delay bounded paths with the maximum belief degree are computed and compared under different delay thresholds.

关键词： dynamic uncertain network uncertainty theory epistemic uncertainty delay bounded routing maximum belief degree

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A Grey Wolf Optimizer Variant with Weighted-leader Strategy 24

A Grey Wolf Optimizer Variant with Weighted-leader Strategy

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3rd International Conference on Signal Processing, Computer Networks and Communications, SPCNC 2024

作者： Liang, Yajun Yan, Su Ma, Qian Huang, Shunlun Liu, Xin China Aerodynamics Research & Development Center Sichuan Mianyang China Science and Technology on Complex Aviation Systems Simulation Laboratory Beijing China State Key Laboratory of Air Traffic Management System Beijing China Beijing Aviation Meteorological Institute Beijing China

ISBN: (纸本)9798400710834

To enhance the convergence capability of grey wolf optimizer (GWO), this research investigates an evolved GWO using weighted-leader strategy (WLS), namely WLSGWO. The key issue of WLS is realizing the adaptive adjustment of position weighting according to the control parameters, thus well overcoming the drawback of premature convergence in the basic GWO. The newly developed method’s performance is assessed through experiments conducted on a standardized test suite. Additionally, comparisons are made by utilizing GWO alongside other advanced optimization techniques. The results of non-parametric studies validate the outperformance of the WLSGWO, thus proving the efficiency of the proposed strategy. © 2024 Copyright held by the owner/author(s).

关键词： Swarm intelligence

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InterMap-NRTI: A Novel Radio Tomographic Imaging Positioning Model Based on the Intersection Map of Wireless Links

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IEEE Transactions on Vehicular technology 2025年第5期74卷 6954-6965页

作者： Wang, Bobo Ma, Yongtao Zhang, Xianchao Zhang, Jing Huang, Zixuan University of Science and Technology of China School of Cyber Science and Technology Anhui Hefei230027 China Tianjin University School of Microelectronics Tianjin300072 China Jiaxing University Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing314001 China University of Science and Technology of China Science Island Branch of Graduate School Anhui Hefei230031 China Institute of Space Integrated Ground Network Anhui Hefei230088 China Zixuan Huang is with the Institute of Space Integrated Ground Network Anhui Hefei230088 China

Device-free localization (DFL) is a potential positioning technique that can localize targets without requiring any device. Radio tomographic imaging (RTI) is one of the most favorable DFL methods and has many advantages over other methods. In multi-target localization indoors, target-affected wireless signal is inevitably contaminated with non-negligible interference of noise and complex multipath. Existing RTI positioning models utilize contaminated signals for multi-target localization, resulting in low positioning performance. To decrease the effect of contaminated signals, we propose a novel RTI positioning model based on the intersection map of wireless links (InterMap-NRTI). InterMap-NRTI utilizes the statistical method to determine wireless links mainly affected by targets and the interpolation method to complement the wireless links that are interrupted due to hardware malfunction and targets' obstruction. The next step is to formulate the definitions to extract high-intersections closest to the target based on the intersection map of target-affected links. Subsequently, we establish a novel positioning model based on signal strengths of wireless links and high-intersections in each cluster determined by DBSCAN algorithm using a saddle surface model. Finally, Hooke-Jeeves method is used to search for the optimal solution of the positioning model. The experiment shows that InterMap-NRTI's accuracy and identification accuracy rate outperforms other methods by an average of more than 30% and more than 14%, respectively, and InterMap-NRTI has a good tolerance for scenario layout. © 2025 IEEE.

关键词： UHF devices

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Application of MTF-SKNet for Wood Species Classification Using Mid-Infrared Spectroscopy

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BioResources 2025年第2期20卷 4464-4478页

作者： Xin, Ying-Jian Fang, Pei-Pei Wang, Hong-Peng Wan, Xiong Key Laboratory of Space Active Opto-Electronics Technology of the Chinese Academy of Sciences Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China Key Laboratory of Systems Health Science of Zhejiang Province School of Life Science Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou310024 China University of the Chinese Academy of Sciences Beijing100049 China

With the recovery of the economy and growth of living standards, the demand for wood furniture is increasing, leading to a focus on wood quality and market value. Mid-infrared (MIR) spectroscopy, which characterizes molecular vibrations, is well-suited for wood classification due to its ability to identify molecular structures. This study utilizes a Fourier Transform Infrared (FTIR) spectrometer to classify 31 wood species based on their commercial categories. While the basic composition of wood species is similar, spectral data are overall close, necessitating a robust approach for accurate identification. To address this, a two-dimensional transformation of the spectral data is performed, to convert wavenumber sequence and state transition probabilities (quantized intensity levels) of spectra into a matrix, followed by deep learning classification using the transformed data. This resulted in the development of the MTF-SKNet model, achieving a classification accuracy of 93% for wood species. The model demonstrated strong generalization performance, reaching 96% accuracy in classifying the rosewood category of woods. © 2025, North Carolina State University. All rights reserved.

关键词： Fourier transform infrared spectroscopy

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