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Review of X-ray pulsar spacecraft autonomous navigation

Chinese Journal of Aeronautics 2023年第10期36卷 44-63页

作者： Yidi WANG Wei ZHENG Shuangnan ZHANG Minyu GE Liansheng LI Kun JIANG Xiaoqian CHEN Xiang ZHANG Shijie ZHENG Fangjun LU College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China Key Laboratory of Particle Astrophysics Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China University of Chinese Academy of Sciences Chinese Academy of SciencesBeijing 100049China Beijing Institute of Control Engineering Beijing 100080China Beijing Institute of Tracking and Communication Technology Beijing 100091China Aerospace Information Research Institute Chinese Academy of ScienceBeijing 100091China Academy of Military Science Beijing 100091China National Innovation Institute of Defense Technology Academy of Military ScienceBeijing 100091China

This article provides a review on X-ray pulsar-based navigation(XNAV).The review starts with the basic concept of XNAV,and briefly introduces the past,present and future projects concerning *** paper focuses on the advances of the key techniques supporting XNAV,including the navigation pulsar database,the X-ray detection system,and the pulse time of arrival ***,the methods to improve the estimation performance of XNAV are ***,some remarks on the future development of XNAV are provided.

关键词： Estimation of pulse time of arrival Spacecraft autonomous navigation X-ray detection X-ray pulsar-based navigation X-ray pulsar signal processing

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Twitter Bot Detection with Multi-Head Attention and Supervised Contrastive Learning 21

Twitter Bot Detection with Multi-Head Attention and Supervis...

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21st International Computer Conference on Wavelet Active Media technology and information Processing, ICCWAMTIP 2024

作者： Qiang, Liu Jiazhong, Lu Yuanyuan, Huang Weisha, Zhang Jun, Lv School of Cybersecurity Xin Gu Industrial College Chengdu University of Information Technology Chengdu610225 China Advanced Cryptography and System Security Key Laboratory of Sichuan Province Chengdu610225 China SUGON Industrial Control and Security Center Chengdu610225 China School of Foreign Languages University of Electronic Science and Technology of China Chengdu611731 China Co. Ltd. China

ISBN: (纸本)9798331519254

The task of detecting bots on Twitter is an indispensable task for combating social network disinformation, curbing rumors, and managing online public opinion. However, today's social bots often disguise themselves by mimicking various aspects of real user characteristics to escape detection, which poses an unprecedented challenge to the existing Twitter bot detection task. To address this, an innovative detection method is presented in this study that improves the accuracy of Twitter bot detection by realizing the effective fusion of multi-dimensional features through the multi-head attention mechanism and applying it to a relational graph convolutional network. It also combines supervised contrastive learning to strengthen the differentiation ability of the high-latitude features. Experiments conducted on the publicly available dataset Twibot-20, compared to the baseline, the proposed method achieves approximately 1% better results in both Accuracy and the Matthews Correlation Coefficient, proving its effectiveness. © 2024 IEEE.

关键词： Contrastive Learning

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Research on Secure communication Methods for High-Speed Cross-Network Data Exchange 4

Research on Secure Communication Methods for High-Speed Cros...

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4th International Conference on Electronic information Engineering and Computer communication, EIECC 2024

作者： Zhang, Yao Chen, Yitao Fei, Jiujiang Peng, Guojun Su, Rong Ministry of Education School of Cyber Science and Engineering Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Hubei Wuhan430072 China Wuhan Maritime Communication Research Institute Hubei Wuhan430205 China Wuhan Railway Vocational College of Technology Hubei Wuhan430200 China

ISBN: (纸本)9798331534622

This paper introduces the application requirements for high-speed secure communication across networks, the fundamental principles of cross-network data exchange, and its implementation. Based on high-speed switch technology and proprietary protocols, a hardware-software co-design solution is proposed to achieve secure communication for cross-network data exchange. The solution eliminates potential security risks associated with unauthorized access, intrusion attacks, and information leakage in heterogeneous network interconnections. It establishes robust defense capabilities against illegal network intrusions, attacks, and failures, meeting the security communication requirements for controlled interconnection and cross-network data exchange between specialized networks. © 2024 IEEE.

关键词： Network intrusion

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Blind identification of MIMO Space-Time Block Codes Based on Convolutional Neural Network 21

Blind identification of MIMO Space-Time Block Codes Based on...

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Proceedings of the 7th International Conference on communication and information Processing

作者： Conglin Pan Si Chen Huijie Zhu Wei Wu Jiachuan Qian Lijun Wang Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC China and School of Electronic and Optical Engineering Nanjing University of Science and Technology China Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC China

ISBN: (纸本)9781450385190

Aiming at the blind identification of space-time block codes (STBC) in multiple input multiple output (MIMO) system, this paper proposes a new convolutional neural network (CNN-N) to realize the blind identification. Compared to traditional algorithms using statistical features of received signal, CNN-N can reduce the computation with a higher correct identification rate. Consist of multiple layers with special functions, CNN-N has good generalization ability in complex MIMO channels. The network in this paper can recognize 6 STBC codes include spatial multiplexing signal (SM) and some OSTBC codes. The simulation result shows that this new convolutional neural network can finish STBC identification with a high correct rate even in low SNR by consuming moderate amounts of time.

关键词： Generalization Ability Convolutional Neural Network Blind Identification STBC MIMO

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Evolutionary Multitasking Based on Team Learning Strategy 6

Evolutionary Multitasking Based on Team Learning Strategy

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6th Asian Conference on Artificial Intelligence technology, ACAIT 2022

作者： Li, Wei Xu, Qingzheng Gao, Xinyu Wang, Lei Xi'an University of Technology School of Computer Science and Engineering Xi'an China National University of Defense Technology College of Information and Communication Wuhan China Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China

ISBN: (纸本)9781665453110

Multi-factorial optimization (MFO) is a popular optimization mechanism recently, which aims to optimize multiple tasks in a single run. Generally, the multi-factorial optimization algorithm uses the random learning strategy to generate offspring, which leads to an inefficient exploration ability of the algorithm. To address this problem, this paper proposed a simple and effective strategy called team learning strategy (TLS). The proposed learning strategy divided the population into excellent team and ordinary team. Different teams employ different learning strategies. Moreover, nine MFO problems were used to assess the effectiveness of the proposed strategy. The experimental results show that the team learning strategy can improve the performance of the algorithm. © 2022 IEEE.

关键词： Evolutionary algorithms

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Design and Implementation of Telemedicine System Using Light Fidelity and PIC16F877A Microcontroller 14

Design and Implementation of Telemedicine System Using Light...

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14th International Conference on information science and technology, ICIST 2024

作者： Ezilarasan, M.R. Leung, Man-Fai Dai, Xiangguang Vel Tech Rangarajan Dr. Sagunthala R and D Instituteof Science and Technology Department of Electronics and Communication Engineering Chennai India School of Computing and Information Science Anglia Ruskin University Faculty of Science and Engineering Cambridge United Kingdom Information Processing and Control of Chongqing Municipal Institutions of Higher Education Chongqing Three Gorges University Key Laboratory of Intelligent Chongqing Wanzhou404100 China

ISBN: (纸本)9798350353334

Medical Body Area Networks (MBANs) increasingly utilize wireless communication technologies to enhance the freedom and convenience for patients and caregivers. Currently, radio frequency (RF) is the prevalent medium in healthcare applications;however, the potential for electromagnetic interference with precision medical equipment remains a concern. This study introduces a novel design and implementation of a medical healthcare information system using the newly developed Wireless Visible Light communication (VLC) technology, also known as Light Fidelity (Li-Fi). Visible Light Emitting Diodes (LEDs), expected to soon surpass traditional incandescent and fluorescent bulbs as the primary light source due to their energy efficiency, facilitate this technology. In this research, patient health is monitored using sensors, with results displayed on an LCD. An LED lightbulb transmits the data as light signals, which are captured by a photo-detector at the receiver's end. This setup not only displays the output on an LCD but also alerts caregivers through an auditory signal, beeping every 15 seconds for respiration and every 30 seconds for heart rate monitoring. Moreover, these lighting fixtures serve dual functions: illumination and wireless data transmission, using the rapid switching capability of LEDs. This prototype VLC-based system offers a promising alternative for data services and monitoring in hospital areas where RF use is restricted. © 2024 IEEE.

关键词： Liquid crystal displays

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Mainlobe DRFM Jamming Suppression via Blind Source Separation Using Tensor Decomposition

Mainlobe DRFM Jamming Suppression via Blind Source Separatio...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Luxin Dong Bing Wang Bunian Pan Yukai Kong Xianxiang Yu Guolong Cui School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

This paper deals with the suppression problem of mainlobe digital radio frequency memory (DRFM) jamming especially for intra-pulse slice forwarding jamming for phased array radar. A novel mainlobe DRFM jamming suppression method resorting to blind source separation based on tensor decomposition (TD-BSS) is proposed to separate the target echo signal and jamming signal. Specifically, the received signals are reconstructed into higher-order tensor form. Further, the separating matrix optimization problem relying on tensor Canonical Polyadic (CP) decomposition principle is formulated and then solved by an enhanced line search alternating least square (ELS-ALS) algorithm. Finally, the performance of the proposed method is demonstrated through numerical simulations, showing its superior to suppress mainlobe DRFM jamming over the exiting method in terms of interrupted sampling and cyclic repeater jamming (ISCRJ) and chopping and interval (C&I) jamming.

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A General Efficient Design Method for Optimum Nonuniform Array Pattern Synthesis

A General Efficient Design Method for Optimum Nonuniform Arr...

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IEEE National Conference on Radar

作者： Ruitao Liu Bing Wang Wenqiang Wei Xianxiang Yu Guolong Cui School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China Science and Technology on Electronic Information Control Laboratory Chengdu China

This paper focuses on the research of a general optimization framework applying to the placement of both two types of nonuniform arrays, thinned array (TA) and sparse array (SA). We introduce the optimization problems that aim to minimize array factor (AF) peak sidelobe level (PSLL), also involving a number of practical constraints. To tackle the resultant non-convex optimization problems, we propose a modified iterative coordinate descent (MICD) method to split original problems into multiple independent one-dimensional subproblems. In each iteration, the redundant calculation is removed to improve the efficiency of the algorithm. Finally, numerical simulations are provided to verify the effectiveness of the proposed method.

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A chattering free consensus controller for multiple Lur'e systems with a non-autonomous leader and directed switching topology

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science China(Technological sciences) 2023年第4期66卷 1110-1118页

作者： WANG PeiJun YU WenWu WEN GuangHui YU XingHuo HUANG TingWen School of Mathematics and Statistics Anhui Normal UniversityWuhu 241000China Anhui Province Engineering Laboratory of Intelligent Robot's Information Fusion and Control Anhui Normal UniversityWuhu 241000China School of Mathematics Frontiers Science Center for Mobile Information Communication and SecuritySoutheast UniversityNanjing 210096China Purple Mountain Laboratories Nanjing 21111lChina Department of Electrical Engineering Nantong UniversityNantong 226019China Department of Systems Science School of MathematicsSoutheast UniversityNanjing 210096China School of Engineering RMIT UniversityMelbourne VIC 3001Australia Science Program Texas A&M University at QatarDoha 23874Qatar

Achieving asymptotical cooperative goal for multi-agent systems(MASs)with non-autonomous leaders(i.e.,leaders with nonzero inputs)is a critical but challenging *** approach is to use discontinuous controllers which may cause chattering phenomenon in practical *** to achieve the asymptotical goal via a chattering free cooperative controller remains to be open so *** this paper,an adaptive continuous controller is designed to achieve zero error consensus tracking in multiple Lur’e systems with a non-autonomous leader under directed switching ***,an unknown input observer(UIO)based on relative outputs is given to estimate the relative full *** an adaptive continuous controller is designed by introducing a decay function which remains positive into the term that plays the role of eliminating the impacts of leader’s nonzero ***,by using multiple Lyapunov functions(MLFs)technique,it is proven that zero error consensus tracking can be achieved if the average dwell time(ADT)is greater than a positive ***,theoretical result is verified by performing simulations on Chua’s *** with existing work,the proposed controller can not only achieve asymptotical consensus,but also is chattering free.

关键词： multi-agent system consensus chattering free non-autonomous leader directed switching topology

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Node Selection for Asynchronous Multi-Target Tracking in Heterogeneous Sensor Networks

Node Selection for Asynchronous Multi-Target Tracking in Het...

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IEEE SENSORS

作者： Zishi Zhang Ye Yuan Lei Zhu Jing He Wei Yi School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Electromagnetic Space Security Chengdu China

ISBN: (数字)9798350363517

ISBN: (纸本)9798350363524

Resource scheduling plays a significant role in the improvement of tracking performance for sensor networks. In this paper, a node selection strategy is proposed for asynchronous multi-target tracking (AMTT) in heterogeneous sensor networks (HSN). To address the asynchrony and heterogeneity of HSN, we present a signal processing procedure for target tracking and derive the predicted Cramér-Rao lower bound (PCRLB) as a metric for assessing the tracking performance, referred to as HSN-PCRLB. We then integrate the HSN-PCRLB into a utility function to formulate the node selecting problem. Subsequently, we propose a heuristic algorithm capable of efficiently identifying acceptable solutions. Simulations demonstrate the effectiveness of the proposed strategy in enhancing tracking accuracy through heterogeneous sensor fusion.

关键词： Measurement Phased arrays Target tracking Accuracy Scheduling algorithms Heuristic algorithms Simulation Signal processing algorithms Sensor fusion Prediction algorithms

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