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21st IEEE International Conference on communication technology, ICCT 2021

作者： Deng, Min Wu, Zhigao Chen, Yongqi School of Automatic and Electronic Information Xiangtan University Hunan National Center for Applied Mathematics Xiangtan China School of Automatic and Electronic Information Xiangtan University Xiangtan China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665432061

Interference resource scheduling is crucial in UAV (unmanned aerial vehicle) cooperative combats of all scales. In view of the simple constraints of the existing scheduling models and their small-scale application situations, a resource scheduling model with constraint of the minimum number of jammed targets is proposed to maximize the benefit of interference and minimize the cost. The analytic hierarchy process is used to weight the indicators of benefit and cost. And the interference resource scheduling model is constructed by the game theory. Besides, the feasibility and existence of the Nash equilibrium are proved. Then, a potential game theory algorithm combined with the tabu algorithm was proposed to solve the interference resource allocation problem. The simulation results show that the designed interference resource scheduling algorithm can achieve higher integration benefit than the other compared algorithms with less iterations. © 2021 IEEE.

关键词： Game theory

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Generative Adversarial Network-Based Electromagnetic Signal Classification: A Semi- Supervised Learning Framework

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China communications 2020年第10期17卷 157-169页

作者： Huaji Zhou Licheng Jiao Shilian Zheng Lifeng Yang Weiguo Shen Xiaoniu Yang Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education School of Artificial IntelligenceXidian UniversityXi'an 710071China Science and Technology on Communication Information Security Control Laboratory Jiaxing 314033China

Generative adversarial network(GAN)has achieved great success in many fields such as computer vision,speech processing,and natural language processing,because of its powerful capabilities for generating realistic *** this paper,we introduce GAN into the field of electromagnetic signal classification(ESC).ESC plays an important role in both military and civilian ***,in many specific scenarios,we can’t obtain enough labeled data,which cause failure of deep learning methods because they are easy to fall into ***,semi-supervised learning(SSL)can leverage the large amount of unlabeled data to enhance the classification performance of classifiers,especially in scenarios with limited amount of labeled *** present an SSL framework by incorporating GAN,which can directly process the raw in-phase and quadrature(IQ)signal *** to the characteristics of the electromagnetic signal,we propose a weighted loss function,leading to an effective classifier to realize the end-to-end classification of the electromagnetic *** validate the proposed method on both public RML2016.04c dataset and real-world Aircraft communications Addressing and Reporting System(ACARS)signal *** experimental results show that the proposed framework obtains a significant increase in classification accuracy compared with the state-of-the-art studies.

关键词： generative adversarial network semi-supervised learning electromagnetic signal classification end-to-end classification weighted loss function

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Analysis of Frequency Offset for Satellite Navigation Receiver Using Carrier-Aided Code Tracking Loop

Analysis of Frequency Offset for Satellite Navigation Receiv...

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International Conference on communication technology (ICCT)

作者： Teng Gao Lijun Wang Xiaofan Jin Science and Technology on Communication Information Security Control Laboratory No.36 Research Institute of CETC Jiaxing China

ISBN: (数字)9781728181417

ISBN: (纸本)9781728181424

Carrier-aided code tracking loop is widely used in satellite navigation receivers. This kind of loop structure can reduce code tracking noise by narrowing the bandwidth of code tracking loop. The performance of carrier-aided code tracking loop in receivers is affected by frequency deviation of reference clock source. This paper analyzes the influence of carrier frequency offset and sampling frequency offset on carrier-aided code tracking loop due to reference clock offset. The results show that large frequency offset can cause code tracking loop lose lock, code tracking loop is more sensitive to sampling frequency deviation and increasing the loop bandwidth can reduce the effects of frequency offset. This analysis provides reference for receiver tracking loop design.

关键词： Tracking loops Receivers Satellites Clocks Satellite navigation systems Global Positioning System Time-frequency analysis

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Weak Signal Detection based on Beta Divergence

Weak Signal Detection based on Beta Divergence

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IEEE Workshop on Signal Processing Advances in Wireless communications (SPAWC)

作者： Jiahao Liu Haoxuan Liu Wenqiang Pu Rui Zhou Ming-Yi You Qingjiang Shi Science and Technology on Communication Information Security Control Laboratory Jiaxing China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China School of Software Engineering Tongji University Shanghai China

Among different electromagnetic spectrum monitoring tasks, a fundamental one is detecting the presence of weak communication signal under non-cooperative setting. Various detection methods have been studied in the literature. These detection methods usually construct a proper hypothesis testing metric to distinguish the signal-plus-noise and noise-only signals. information entropy based metric has recently been studied and shown its superiority over traditional energy based metrics. We find that it can be explained as a realization of the general Kullback-Leibler divergence. Inspired by that, in this paper, we propose to detect the signal using a statistic divergence called β-divergence. Different choices of β will lead to several well known divergences, e.g., Itakura-Saito divergence and Euclidean distance. We study its detection performance for non-cooperative signal sources. Both simulation and real experiments demonstrate that β-divergence can improve detection performance for various modulation types of communication signals.

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MGTN: Multi-scale Graph Transformer Network for 3D Point Cloud Semantic Segmentation

MGTN: Multi-scale Graph Transformer Network for 3D Point Clo...

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IEEE Visual communications and Image Processing (VCIP)

作者： Da Ai Siyu Qin Zihe Nie Hui Yuan Ying Liu Xi’an Key Laboratory of Image Processing Technology and Applications for Public Security Xi’an University of Posts and Telecommunications Xi’an China School of Communication and Information Engineering Xi’an University of Posts and Telecommunications Xi’an China School of Control Science and Engineering Shandong University Jinan China

ISBN: (数字)9798331529543

ISBN: (纸本)9798331529550

The structural similarity of point clouds presents challenges in accurately recognizing and segmenting semantic information at the demarcation points of complex scenes or objects. In this study, we propose a multi-scale graph transformer network (MGTN) for 3D point cloud semantic segmentation. First, a multi-scale graph convolution (MSG-Conv) is devised to address the limitations faced by existing methods when extracting local and global features of point cloud data with varying densities simultaneously. Subsequently, we employ a graph-transformer (G-T) module to enhance edge details and spatial position information in the point cloud, thereby improving recognition accuracy for small objects and confusing elements such as columns and beams. Extensive testing on ShapeNet parts and S3DIS datasets was conducted to demonstrate the effectiveness of MGTN. Compared to the baseline network DGCNN, our proposed MGTN achieves substantial performance improvements, as evidenced by notable increases in mIoU of 1.5% and 18.5% on the ShapeNet parts and S3DIS datasets respectively. Additionally, MGTN outperforms the recent CFSA- Net by 2.3% and 3.4% on OA and mIoU respectively.

关键词： Point cloud compression Three-dimensional displays Visual communication Convolution Semantic segmentation Semantics Transformers Feature extraction Data mining Testing

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Node Locations-based Ad-Hoc Topology Analysis Using Minimum Connected Dominating Set

Journal of Network Intelligence

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Journal of Network Intelligence 2022年第1期7卷 231-242页

作者： Xu, Jian-Liang Lou, Hua-Xun Wang, Zhe Lu, Zhe-Ming The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China Key Laboratory of Communication Information Control and Security Technology Jiaxing314033 China School of Aeronautics and Astronautics Zhejiang University Hangzhou310027 China

In the battlefield environment, sometimes only the location information of the battlefield network nodes can be obtained, but it is difficult to obtain the communication relationship information between the nodes. In this case, it becomes very difficult to identify the topology. However, from the perspective of network coverage design and topology control, this is similar to a distributed topology control algorithm based on node location information. This paper presents a scheme based on minimum connected dominating set to solve the problem of Ad hoc access network topology analysis, it can finally output key nodes and key links. The core idea is to find the smallest number of dominators among all network nodes as key nodes. The shortest path between the two dominators is the critical *** results demonstrate the effectiveness of the proposed scheme. © 2022, Taiwan Ubiquitous information CO LTD. All rights reserved.

关键词： Mobile ad hoc networks

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A Practical Quantum Network Coding Protocol Based on Non-Maximally Entangled State

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Computers, Materials & Continua 2021年第8期68卷 2651-2663页

作者： Zhen-Zhen Li Zi-Chen Li Xiu-Bo Chen Zhiguo Qu Xiaojun Wang Haizhu Pan School of Information Engineering Beijing Institute of Graphic CommunicationBeijing102600China Information Security Center State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijing100876China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science and TechnologyNanjing210044China School of Electronic Engineering Dublin City UniversityDublin9Ireland College of Computer and Control Engineering Qiqihar UniversityQiqihar161006China

In many earlier works,perfect quantum state transmission over the butterfly network can be achieved via quantum network coding protocols with the assist of maximally entangled ***,in actual quantum networks,a maximally entangled state as auxiliary resource is hard to be obtained or easily turned into a non-maximally entangled state subject to all kinds of environmental ***,we propose a more practical quantum network coding scheme with the assist of non-maximally entangled *** this paper,a practical quantum network coding protocol over grail network is proposed,in which the non-maximally entangled resource is assisted and even the desired quantum state can be perfectly *** achievable rate region,security and practicability of the proposed protocol are discussed and *** practical quantum network coding protocol proposed over the grail network can be regarded as a useful attempt to help move the theory of quantum network coding towards practicability.

关键词： Quantum network coding non-maximally entangled state quantum grail network practical protocol

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GPU-accelerated multipath clutter cancellation algorithm for dtmb-based passive radar

GPU-accelerated multipath clutter cancellation algorithm for...

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2020 International Conference on Engineering Management of communication and technology, EMCTECH 2020

作者： Bu, Zirong Zhu, Huijie Qian, Jiachuan Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China No. 36 Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China

ISBN: (纸本)9781665404488

In order to extract the target echo in the monitoring channel, the direct wave and the clutter should be suppressed in the signal processing of the passive radar. The batch version of the Extensive Cancellation Algorithm (ECA-B) is an effective time-domain clutter cancellation algorithm that can suppress direct waves and multipath clutter. And it has better robustness than ECA. However, ECA-B is a computationally intensive algorithm. Therefore, the Graphic Processing Unit (GPU) accelerated ECA-B algorithm has been studied and implemented on GPU by exploring the parallelism of the ECA-B algorithm. The paper contains the description of the algorithm implementation and the performance results analysis of the measured data. © 2020 IEEE.

关键词： Graphics processing unit

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Research on PDCCH Channel in 5G NR System

Research on PDCCH Channel in 5G NR System

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International Conference on Networking and Network Applications (NaNA)

作者： Liang Tianyi Zhu Huijie Science and Technology on Communication Information Security Control Laboratory Jiaxing China No. 36 Research Institute of China Electronics Technology Group Corporation Jiaxing China

In the 5th Generation Mobile communication technology (5G) system, physical downlink control channel (PDCCH) controls the transmission and reception of uplink and downlink data by transmitting Downlink control information (DCI), which is the core of the physical channel control of the 5G system. Obtain the DCI information to obtain the uplink and downlink scheduling information of the signal, thereby providing more possibilites for effectively interfering with the mobile signal. In this paper, by studying the signal transmitting end, the corresponding resource demapping, deinterleaving, decoding and other algorithms are used to realize the full link processing of the receiving end and obtain DCI information. The actual 5G signal collected is processed, which verifies the reliability and accuracy of the algorithm.

关键词： 5G mobile communication Receivers Interference Downlink Scheduling Decoding Reliability

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Link reliability prediction for long-range underwater acoustic communications between gliders

Link reliability prediction for long-range underwater acoust...

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2021 IEEE/CIC International Conference on communications in China, ICCC Workshops 2021

作者： Zhang, Lan Feng, W. Li, Jianlong Zhu, Huijie Science and Technology on Communication Information Security Control Laboratory Jiaxing314000 China Research Institution of China Electronics Technology Group Corporation Jiaxing341000 China Zhejiang University Ocean College Zhoushan316021 China Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China

ISBN: (纸本)9781665439442

Channel modeling and the prediction of the reliability of acoustic link is the key to a successful deployment of underwater acoustic networks (UAN). In this paper, we build a Bellhop-based simulation framework driven by the environmental data to assess and predict the quality of the long-range and low-frequency communication links between the unmanned platforms in the deep ocean. The environmental data is measured in the South China Sea Experiment 2020 (SCSEx20). Results of channel modeling and link reliability prediction are reported in terms of the estimated channel impulse response (CIR), signal-to-noise ratio (SNR), and bit rate error (BER). The analysis shows how the communication performance of the physical level is dominated by the environmental data, aiming at evaluating the communication performance, and correlating the variation of the environmental conditions to the reliability of the entire communication link. © 2021 IEEE.

关键词： Underwater acoustic communication

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