Intelligent+Satellite Internet

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For Selected: Download Citations EndNote Ris BibTeX Toggle Thumbnails Select Space-Integrated-Ground Information Networks    2022, 3 (3): 1-2.   DOI: 10.11959/j.issn.2096-8930.2022026-1 Abstract （143）   HTML （44）    PDF（pc） （688KB）（211）       Knowledge map    Save Reference | Related Articles | Metrics Select The Architecture and Key Technologies of the Internet of Things with Integration of Heaven and Earth and Multi Services Xiao WEI, Jing ZHANG, Ziao QUAN, Yinuo GUO, Xu FENG Space-Integrated-Ground Information Networks    2022, 3 (3): 3-12.   DOI: 10.11959/j.issn.2096-8930.2022026 Abstract （332）   HTML （72）    PDF（pc） （2570KB）（742）       Knowledge map    Save In view of the requirements of the new internet of things , such as multi diff erentiated service, wide area high-capacity access, low power consumption and low cost, the architecture design, technology research and system construction of the new generation satellite internet of things are in the stage of extensive research and experiment.In this context, based on the analyzed of the research status and requirements, an internet of things architecture integrating heaven and earth was proposed.Then, the research on technologies such as multi service integration air interface transmission, communication and positioning integration, and intelligent edge computing were deeply studied.A multi-scene space based internet of things solution for low latitude areas was put forwared, which provided a reference for the future development of space-based internet of things technology and system construction. Table and Figures | Reference | Related Articles | Metrics Select Satellite-Earth Integration Intelligent Resource Management and Control Architecture of Giant Sensing Constellation Yingte CHAI, Gang WANG, Chao ZHANG, Guangxi ZHU, Wei FU, Zhengqiang GUO Space-Integrated-Ground Information Networks    2022, 3 (3): 13-22.   DOI: 10.11959/j.issn.2096-8930.2022027 Abstract （393）   HTML （74）    PDF（pc） （3811KB）（547）       Knowledge map    Save The giant sensing constellation will have the capabilities of on-board automatic processing, on-board independent planning, multisensors and multi-mode automatic switching.The traditional control mode of relying solely on the ground system can no longer meet the requirements of the giant sensing constellation.According to the requirements of intelligent and networked control, an integrated intelligent resource management and control architecture was proposed.It was based on the integration of satellite and earth.The work contents of satellite and earth were specifically designed.The interaction mechanism between satellite and earth was designed.The architecture it proposed could be well applied to the independent resource management and controlled of giant sensing constellation.The architecture realized the ＆quot;networking, autonomy and intelligence＆quot; of the giant sensing constellation and it could played an important role in major national security emergency response and other tasks. Table and Figures | Reference | Related Articles | Metrics Select Intelligent Planning Framework for Star-Walk Mission Based on Multimodal Observation Requirements Information Guangxi ZHU, Gang WANG, Chao ZHANG, Yingte CHAI, Wei FU, Zhengqiang GUO Space-Integrated-Ground Information Networks    2022, 3 (3): 23-29.   DOI: 10.11959/j.issn.2096-8930.2022028 Abstract （204）   HTML （25）    PDF（pc） （950KB）（448）       Knowledge map    Save Combined with the current requirement and research for rapid intelligent planning of star-walk observation mission, and a framework based on multimodal observation requirements such as voice and text was designed.The framework aimed to satisfied the requirements and focued on breaking through three key issues for future emergency rescue applications: multimodal requirement interpretation, full-elements resource coordination and complex emergency missions planning, and to open the automatic link between observation requirement, resource planning and mission planning by making full use of deep learning methods.On these bases, the framework had the ability to provided rapid remote sensing observation information with a specified time and made full play to the comprehensive eff ectiveness of remote sensing information resources. Table and Figures | Reference | Related Articles | Metrics Select Intelligent Excavation Technologies for Satellite Spectrum Signals Qiulin LYU, Xiaojin DING, Gengxin ZHANG Space-Integrated-Ground Information Networks    2022, 3 (3): 30-36.   DOI: 10.11959/j.issn.2096-8930.2022029 Abstract （190）   HTML （24）    PDF（pc） （2851KB）（374）       Knowledge map    Save With the construction of spatial information network, the available spectrum resources are increasingly scarce, and the electromagnetic environment is becoming more and more complex, resulting a more prominent challenge of realizing the safe control of the global electromagnetic.Therefore, the sensing method of electromagnetic spectrum occupation state was studied, a time convolution neural network to sense the spectrum occupation state was constructed.To mine abnormal spectrum data, neural network was used to automatically detect abnormal spectrum, such as fl uctuation noise fl oor, spectrum grass and large bandwidth.The spectrum parameter extraction method was explored.Considering the large propagation delay between the spectrum-sensing satellite and its gateway, a neural network was constructed to predicted the spectrum occupation state.The perception, anomaly, parameters and prediction results of satellite spectrum signal were visualized.The preliminary evaluation results showed that the designed satellite-spectrum intelligent mining technologies could not only improved the sensing ability of spectrum situation, but also eff ectively improved the utilization of spectrum resources. Table and Figures | Reference | Related Articles | Metrics Select CNN-Based Channel Estimation Method for OTFS System in Satellite-Ground Scenario Cheng GUO, Le YU, Lidong ZHU Space-Integrated-Ground Information Networks    2022, 3 (3): 37-45.   DOI: 10.11959/j.issn.2096-8930.2022030 Abstract （300）   HTML （23）    PDF（pc） （2254KB）（504）       Knowledge map    Save Orthogonal time frequency space (OTFS) is fully applied in high Doppler communication scenarios due to its good Doppler frequency bias and time delay adaptability.The channel estimation methods for OTFS systems have shortcomings such as high complexity and poor BER performance.A CNN-based channel estimation method for OTFS systems in the terrestrial-satellite scenario using a convolutional neural network (CNN) approach was proposed.Simulation results showed that the deep learning-based method outperformed the conventional method in terms of algorithm complexity and BER in the terrestrial-satellite scenario, thus demonstrating that deep learning is a promising tool for channel estimation in OTFS systems. 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