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2024 4th International Conference on Computer, Remote Sensing and Aerospace, CRSA 2024

作者： Zhu, Xun Zhao, Laiding Zhang, Gengxin College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing210003 China Telecommunication and Network National Engineering Research Center Nanjing University of Posts and Telecommunications Nanjing210003 China

The space segment of the current COSPAS-SARSAT system is mainly supported by the Galileo system, and the positioning technology used is generally three-star time-difference positioning. Most of the antennas equipped in the Mission Control Centre (MCC) are not omnidirectional. In the case of Source of Search and Rescue (SAR) in a heavily shaded environment, it is necessary to use the different orbit time-sharing single satellite geolocations using TDOA, and the time-sharing will generate more satellite position data. In order to achieve the higher positioning accuracy of the solution, it is necessary to select the appropriate time and optimal geometrical distribution from the satellite positions. In this paper, we propose a satellite selection strategy based on Multiple Dimensional scaling (MDS) data degradation and a fast convex hull algorithm. The three-dimensional satellite data are downscaled to two-dimensional while maintaining their relative positional relationships, and the two-dimensional convex hull algorithm is used for Geometric Dilution of Precision (GDOP) minimum search star selection. By simulating the satellite position data in different orbits and time-sharing to complete the localization solution, the results show that compared with the traditional satellite selection method, the satellite selection strategy proposed in this paper is able to achieve better localization accuracy in a shorter period of time. © Published under licence by IOP Publishing Ltd.

关键词： Stars

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Design and implementation of UAV obstacle avoidance based on STM32 3

Design and implementation of UAV obstacle avoidance based on...

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3rd International Conference on Mechatronics and Mechanical engineering, ICMME 2024

作者： Hu, Xusheng Liu, Juan Ma'anshan Engineering Technology Research Center for Wireless Sensor Network and IntelliSense Ma’anshan243031 China Anhui Provincial Engineering Laboratory on Information Fusion and Control of Intelligent Robot Wuhu241002 China Ma'anshan Technical College Ma'anshan243030 China

ISBN: (纸本)9781510681651

With the development of remote control and telemetry technology, the application of UAV is more and more extensive, and the requirement of UAV flight control is higher and higher. In order to enhance the stability of UAV hardware system, the power supply part is protected in various ways;a spare chip is added to ensure the effectiveness of attitude calculation;SPI peripheral interface is reserved to expand GPS, ultrasonic and other sensors. Through the mathematical model, the calibration method of accelerometer and gyroscope is introduced, and the importance of this step for flight control system is emphasized. The software flow chart of the system is designed, and the mathematical model of obstacle avoidance algorithm is given. The classic PID control algorithm and simulation method are used to realize the obstacle avoidance of UAV. Considering the problems that may be encountered in UAV obstacle avoidance, the mathematical model is established, the evaluation index is given, and the control experiment is designed. Experimental results show that the algorithm has good obstacle avoidance effect and strong robustness in low speed and complex environment. © 2024 SPIE.

关键词： Three term control systems

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Research on High-Precision and Low-Power Quartz MEMS Gyroscope Signal Demodulation Circuit Based on AFE and FPGA Fusion

Research on High-Precision and Low-Power Quartz MEMS Gyrosco...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Li, Jiawei Sun, Xinyue Shi, Yuchen Ren, Yichen Zhao, Ergang Yue, Zhao College of Electronic Information and Optical Engineering Nankai University Tianjin China Smart Sensing Interdisciplinary Science Center of Nankai University Nankai University Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Tianjin China

ISBN: (纸本)9798350318012

Mainstream quartz MEMS gyroscope signal demodulation methods are coherent demodulation methods, and the sensitivity of phase limits their accuracy improvement. In order to improve the accuracy of quartz MEMS gyroscope signal demodulation and achieve low-power gyroscope signal demodulation, a high-precision and low-power quartz MEMS gyroscope signal demodulation circuit based on AFE and FPGA fusion is proposed: The FPGA circuit uses simplified non-phase-sensitive amplitude discrimination algorithm and second-order IIR low-pass filter to build demodulation circuit;The AFE circuit uses low-power single point DFT algorithm based on CORDIC algorithm for demodulation. Then performs dual circuit fusion to improve demodulation accuracy. The high-precision quartz MEMS gyroscope signal demodulation circuit is achieved with a scale factor of 6.4 mV/°/s, relative error of 1.14%, and data variance of 0.39. By detecting the rate of change in angular velocity, it switches to a single circuit to achieve low-power signal demodulation goals, the minimum operating power consumption is about 79mW. © 2023 IEEE.

关键词： Demodulation

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Automatic fusion method for perceptual data of internet of things based on Kalman filter

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International Journal of Reasoning-based Intelligent Systems 2024年第6期16卷 427-436页

作者： Gao, Andi Guo, Xiaojing Liu, Ketong Meng, Kuntai Department of Information Engineering Hebei Institute of Mechanical and Electrical Technology Xingtai054000 China Intelligent Sensor Network Application Technology Research and Development Center Xingtai054000 China

Due to the low fusion accuracy of traditional internet of things (IoT) sensing data automatic fusion methods, an automatic fusion method of IoT sensing data based on Kalman filter is proposed. Firstly, we adopt the error correction mechanism and time registration to deal with the structure deviation of the IoT sensing data and the asynchronous problem of the IoT sensing data. Then, the Kalman filtering algorithm is used to fuse the time data and space data at the terminal node and gateway layer. Finally, the Kalman filtering algorithm is optimised by using the distribution diagram method to determine the abnormal or missing data in the fused data, so as to obtain the optimised data automatic fusion results. The test results show that the precision of this method for automatic fusion of IoT sensing data is above 94%, and the fusion effect is good. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Wiener filtering

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Demonstration of Einstein–Podolsky–Rosen Steering with Multiple Observers via Sequential Measurements

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Chinese Physics Letters 2022年第11期39卷 1-5页

作者： Jian Li Yang Zhou Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Key Lab of Broadband Wireless Communication and Sensor Network Technology(Ministry of Education) Nanjing University of Posts and TelecommunicationsNanjing 210003China National Engineering Research Center of Telecommunication and Networks Nanjing University of Posts and TelecommunicationsNanjing 210003China

Quantum correlation is a fundamental property that distinguishes quantum systems from classical ones,and is also a fragile resource under projective ***,it has been shown that a subsystem in entangled pairs can share nonlocalities with multiple observers in *** we present a new steering scenario where both subsystems are accessible by multiple *** results show that the two qubits in a singlet state can be simultaneously steered separately by two sequential observers.

关键词： Einstein projective subsystem

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A Novel FPGA-Based Delay-Line Implementation and Interpolation Method Using TDCs

A Novel FPGA-Based Delay-Line Implementation and Interpolati...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Sun, Xinyue Shi, Yuchen Li, Jiawei Ren, Yichen Zhao, Ergang Yue, Zhao College of Electronic Information and Optical Engineering Nankai University Tianjin China College of Electronic Information and Optical Engineering Smart Sensing Interdisciplinary Science Center of Nankai University Tianjin Key Laboratory of Optoelectronic Sensor and Sensing Network Technology Nankai University Tianjin China

ISBN: (纸本)9798350318012

Precision time digital converter (i.e., TDC) is a crucial technique for sensing and detecting and is frequently employed in a variety of contexts, including inertial navigation, aviation, space physics, and optical fiber communication. However, the implementation of a stable and uniform delay line and the accurate time interpolation are frequent trouble in the implementation process but are hardly ever analyzed as a whole. In order to develop a full and exact system, this manuscript examines the two primary issues and offers practical solutions. The system is tested in the low-cost FPGA of the Altera Cyclone IV series. According to the test results, the precision TDC system performs admirably, with an RMS accuracy of approximately 18.54 ps. © 2023 IEEE.

关键词： Field programmable gate arrays (FPGA)

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Research on network Intrusion Detection System Based on Independent Q-learning

Research on Network Intrusion Detection System Based on Inde...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Liting Zhang Enxiang Zhou Ma’Anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Wanjiang University of Technology Ma’Anshan China Wanjiang University of Technology Ma’Anshan China

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

Aiming at the problem that traditional network intrusion detection systems have low accuracy in identifying complex and changeable network attack patterns, a multi-agent network intrusion detection system based on independent Q-learning is proposed. The system adopts a multi-agent architecture, and each agent uses an independent Q learning algorithm to monitor and assess network behavior, and improves the efficiency and accuracy of network intrusion detection through intelligent methods. The experimental results show that compared with traditional intrusion detection methods, the detection accuracy, response speed and robustness of this system are significantly improved. It can show good adaptability and generalization ability. It provides a new solution for the field of network security and has certain theoretical and practical value for building a more intelligent and reliable network security protection system.

关键词： Q-learning Accuracy network intrusion detection Computer architecture network security Reliability theory Computational electromagnetics Robustness Protection Monitoring

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Application Research on Blockchain-based Asynchronous Federated Learning in Data Security Sharing in Vehicle network

Application Research on Blockchain-based Asynchronous Federa...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Liting Zhang Yunfei Wang Ma’anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Wanjiang University of Technology Ma’anshan China Wanjiang University of Technology Ma’anshan China

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

In the vehicle-connected environment of intelligent transportation systems, although data sharing brings new development opportunities, it is also accompanied by challenges such as privacy and security (such as data leaks) and upload efficiency. These issues reduce the enthusiasm of data providers to participate. In order to solve the above problems, this research aims to propose a new architecture based on asynchronous federated learning, focusing on solving bandwidth, security and privacy issues encountered in IoT vehicle data sharing, and is committed to improving the reliability of data sharing. and efficiency. By adopting blockchain technology to enhance the security and reliability of model parameters, reducing transmission loads and alleviating privacy concerns. At the same time, the research also uses a distributed, efficient and secure data sharing architecture based on blockchain to select nodes and further optimizes the asynchronous federated learning scheme to improve overall efficiency. Experimental results show that the proposed scheme not only improves the learning accuracy, but also significantly accelerates the convergence speed, and at the same time enhances privacy protection and service quality, fully verifying the effectiveness and practicality of this research method.

关键词： Training Data privacy Privacy Federated learning Data security System performance Data models Robustness Real-time systems Blockchains

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Application research of Webshell detection system based on deep learning

Application research of Webshell detection system based on d...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Liting Zhang Jinrui Zhu Ma’anshan Wireless Sensor Network and Intelligent Perception Engineering Technology Research Center Wanjiang University of Technology Ma’anshan China Wanjiang University of Technology Ma’anshan China

ISBN: (数字)9798350355581

ISBN: (纸本)9798350355598

Aiming at the limitations of traditional Webshell detection methods, such as relying on static rule matching, easy to be affected by confusing technologies, and difficult to cope with constantly evolving attack means. A Webshell detection method based on deep learning is proposed. This method not only integrates convolutional neural network (CNN) algorithm and recurrent neural network (RNN) algorithm, but also introduces multi-dimensional strategies of opcode analysis, regular detection and entropy detection to enrich the detection means. It is proved that this algorithm greatly improves the accuracy and real-time of Webshell detection.

关键词： Deep learning Recurrent neural networks Accuracy Computational electromagnetics Real-time systems Entropy Convolutional neural networks

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Stackelberg Game for Wireless Powered and Backscattering Enabled sensor networks

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China Communications 2024年第3期21卷 189-204页

作者： Lyu Bin Cao Yi Wang Shuai Guo Haiyan Hao Chengyao Key Laboratory of Ministry of Education in Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network Suzhou 215006China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

This paper investigates a wireless powered and backscattering enabled sensor network based on the non-linear energy harvesting model, where the power beacon(PB) delivers energy signals to wireless sensors to enable their passive backscattering and active transmission to the access point(AP). We propose an efficient time scheduling scheme for network performance enhancement, based on which each sensor can always harvest energy from the PB over the entire block except its time slots allocated for passive and active information delivery. Considering the PB and wireless sensors are from two selfish service providers, we use the Stackelberg game to model the energy interaction among them. To address the non-convexity of the leader-level problem, we propose to decompose the original problem into two subproblems and solve them iteratively in an alternating manner. Specifically, the successive convex approximation, semi-definite relaxation(SDR) and variable substitution techniques are applied to find a nearoptimal solution. To evaluate the performance loss caused by the interaction between two providers, we further investigate the social welfare maximization problem. Numerical results demonstrate that compared to the benchmark schemes, the proposed scheme can achieve up to 35.4% and 38.7% utility gain for the leader and the follower, respectively.

关键词： backscatter communication energy interaction stackelberg game wireless powered sensor network

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