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International Conference on communication technology (ICCT)

作者： Lan Zhang Liang Ma Feng Tian Tianyi Liang Science and Technology on Communication Information Security Control Laboratory Jiaxing China The 36th Research Institution of China Electronics Technology Group Corporation Jiaxing China Nanjing University of Posts and Telecommunications Nanjing China

In order to effectively cope with the external malicious jamming from jammers and avoid mutual interference caused by competitive channels among users, an intelligent antijamming decision-making method based on deep reinforcement learning for multi-user communication is proposed in this paper. In multiple jamming modes, the base station perceives the current spectrum information of the multi-user and the jammer and makes it as the input of the deep reinforcement learning strategy neural network, then selects the joint action according to the dynamic greedy algorithm, which will help the users intelligently select the communication frequency band via the feedback from the base station. The simulation results show that the proposed method effectively overcome the communication jamming induced by external jammers and internal users. Moreover, the normalized throughput of each user in the proposed algorithm is much higher than the random frequency hopping and fixed ε deep reinforcement learning algorithm with faster convergence speed.

关键词： Deep learning Base stations Simulation Heuristic algorithms Decision making Reinforcement learning Spread spectrum communication

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Video Stabilization via Prediction with Time-Series Network and Image Inpainting with Pyramid Fusion

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Chinese Journal of Electronics 2021年第6期30卷 1103-1110页

作者： CHENG Keyang LI Shichao RONG Lan WANG Wenshan SHI Wenxi ZHAN Yongzhao School of Computer Science and Communication Engineering Jiangsu University Jiangsu Province Big Data Ubiquitous Perception and Intelligent Agricultural Application Engineering Research Center Cyber Space Security Academy of Jiangsu University National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data Xinjiang Lianhaichuangzhi Information Technology Co. Ltd.

Due to the poor filling effect of the video image defect commonly used in the video stabilization field, the video is seemed still unstable after the image stabilization process, which seriously affects the visual effect. To solve this problem, we improve a video stabilization method based on time-series network prediction and pyramid fusion restoration is proposed to optimize the visual effect after image *** flow of the proposed method is as follows: First,it is adaptive to determine whether the defect of the corresponding frame at the current time needs padding inpainting. Then, for the frame that needs to be inpainting,the frames generated before the current moment are sent to the model combining the convolutional neural networks and the gate recurrent unit to predict the part to be filled. Next the current defect image and the complete image to be filled are brought into the Laplacian pyramid reconstruction, and the improved weighted optimal suture is introduced for splicing during the fusion. Finally, the video frame is cut after reconstruction. The method is tested on a data set composed of videos commonly used in the field of video stabilization. The experimental results show that the average peak signal to noise ratio of the method is 2 to 5 d B higher than that of the comparison algorithm, and the average structural similarity index is improved by about 2% to 7% compared with the contrast algorithm.

关键词： image restoration image sequences video frame cutting improved weighted optimal suture gate recurrent unit video signal processing video stabilization method image fusion Laplacian pyramid reconstruction padding inpainting image resolution neural nets convolutional neural networks video image defect pyramid fusion restoration image inpainting visual effect optimization image reconstruction time-series network prediction image stabilization process

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Research on Covariance Matrix and Freedom Degree of GNSS Anti-jamming Array

Research on Covariance Matrix and Freedom Degree of GNSS Ant...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Pulong Nan Lijun Wang Gaofeng Pan Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665446006

The paper focuses on the covariance matrix and freedom degree widely involved in array anti-jamming processing. Based on the eigen decomposition of array covariance matrix of received signals, the correlation properties as well as the relationship between eigenvalue distribution of covariance matrix and consumed freedom degrees of array are researched and analyzed, with GNSS anti-jamming array taken as an example. Simulation experiments are done to explain a number of representative conditions and help summarize several deploying instructions for the platforms carrying anti-jamming arrays, so as to avoid freedom degrees being consumed much and ensure the anti-jamming capabilities.

关键词： Global navigation satellite system Correlation Array signal processing Image processing Conferences Parallel processing Eigenvalues and eigenfunctions

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High Altitude Platforms-Assisted Hierarchical Computing Offloading in Marine-IoT Networks: A Delay Minimization Approach

High Altitude Platforms-Assisted Hierarchical Computing Offl...

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IEEE Conference on Global communications (GLOBECOM)

作者： Mingqing Li Li Ping Qian Qianru Wang Yuan Wu Bin Lin Xiaoniu Yang College of Information Engineering Zhejiang University of Technology Hangzhou Zhejiang China Zhuhai UM Science and Technology Research Institute Zhuhai China Department of Computer and Information Science University of Macau Macao SAR China State Key Laboratory of Internet of Things for Smart City University of Macau Macao SAR China Department of Communication Engineering Dalian Maritime University Dalian China Science and Technology on Communication Information Security Control Laboratory Jiaxing China Institute of Cyberspace Security Zhejiang University of Technology Hangzhou China

Mobile edge computing has been a promising technology that enables diverse applications of computation-intensive yet latency-sensitive in marine Internet of Things networks. In this paper, we propose a framework of hierarchical computing offloading with the assistance of high altitude platforms (HAPs), and a hybrid transmission scheme of non-orthogonal multiple access (NOMA) and frequency division multiple access (FDMA) is designed for achieving efficient computation offloading. Specifically, the offshore sensing devices (SDs) initially perform computation offloading to the HAPs by forming NOMA groups, and the HAPs further offload partial workload to the onshore base station (BS) via FDMA. For efficient calculation, we aim to minimize the overall delay in completing all the workload processing of these SDs by jointly optimizing the durations of NOMA and FDMA transmission as well as the hierarchical computation offloading workload. Though the problem is in the form of non-convexity, we design an efficient SCA-based algorithm to tackle it. Finally, numerical results demonstrate the optimality and convergence of the proposed algorithm, as well as the performance gains of the proposed scheme.

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Sensing With Random communication Signals

arXiv

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arXiv 2025年

作者： Lu, Shihang Liu, Fan Xiong, Yifeng Du, Zhen Cui, Yuanhao Li, Shuangyang Yuan, Weijie Yang, Jie Jin, Shi National Mobile Communications Research Laboratory Southeast University Nanjing210096 China School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing210044 China Faculty of Electrical Engineering and Computer Science Technical University of Berlin Berlin10587 Germany Southern University of Science and Technology Shenzhen518055 China Frontiers Science Center for Mobile Information Communication and Security and also The Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing211189 China

communication-centric Integrated Sensing and communication (ISAC) has been recognized as a promising methodology to implement wireless sensing functionality over existing network architectures, due to its cost-effectiveness and backward compatibility to legacy cellular systems. However, the inherent randomness of the communication signal may incur huge fluctuations in sensing capabilities, leading to unfavorable detection and estimation performance. To address this issue, we elaborate on random ISAC signal processing methods in this article, aiming at improving the sensing performance without unduly deteriorating the communication functionality. Specifically, we commence by discussing the fundamentals of sensing with random communication signals, including the performance metrics and optimal ranging waveforms. Building on these concepts, we then present a general framework for random ISAC signal transmission, followed by an in-depth exploration of time-domain pulse shaping, frequency-domain constellation shaping, and spatial-domain precoding methods. We provide a comprehensive overview of each of these topics, including models, results, and design guidelines. Finally, we conclude this article by identifying several promising research directions for random ISAC signal transmission. © 2025, CC BY-SA.

关键词： Signaling

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Passive Target Detection Based on GLRT Using Multi-satellite Illumination 3rd

Passive Target Detection Based on GLRT Using Multi-satellite...

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3rd EAI International Conference on Artificial Intelligence for communications and Networks, AICON 2021

作者： Zhu, Huijie Liu, Mingqian Li, Ming Gao, Xiuhui Science and Technology on Communication Information Security Control Laboratory The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing314033 China State Key Laboratory of Integrated Service Networks Xidian University Shaanxi Xi’an710071 China State 722 Factory Guangxi Guilin541001 China

ISBN: (纸本)9783030901950

This paper proposes a novel passive location parameter estimator using multiple satellites for moving aerial targets. Specifically, we consider target detection in the ground dual receiver system, which is divided into reference channel and monitoring channel. The reference channel receives the direct wave signals from multiple external emitters, and the monitoring channel receives the echo signals reflected by the target. We propose a target detection method based on a generalized likelihood ratio (GLRT). This detection algorithm is robust to the reference channel noise. Extensive simulations are conducted to evaluate the performance of the algorithm under various network settings. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Satellites

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A Collaborative Jamming Algorithm Based on Multi-UAV Scheduling

arXiv

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arXiv 2023年

作者： Jiang, Yixin Zhou, Lingyun Tang, Yijia Tu, Ya Liu, Chunhong Shi, Qingjiang School of Software Engineering Tongji University Shanghai201804 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China Shenzhen Research Institute of Big Data Shenzhen518172 China

In this paper, we consider the problem of multiunmanned aerial vehicles’ (UAVs)’ scheduling for cooperative jamming, where UAVs equipped with directional antennas perform collaborative jamming tasks against several targets of interest. To ensure effective jamming towards the targets, we formulate it as an non-convex optimization problem, aiming to minimize the communication performance of the targets by jointly optimizing UAVs’ deployment and directional antenna orientations. Due to the unique structure of the problem, we derive an equivalent transformation by introducing a set of auxiliary matrices. Subsequently, we propose an efficient iterative algorithm based on the alternating direction method of multipliers (ADMM), which decomposes the problem into multiple tractable subproblems solved in closed-form or by gradient projection method. Extensive simulations validate the efficacy of the proposed algorithm. Copyright © 2023, The Authors. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Passive Target Detection Based on Rao Using Multi-satellite Illumination 3rd

Passive Target Detection Based on Rao Using Multi-satellite ...

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3rd EAI International Conference on Artificial Intelligence for communications and Networks, AICON 2021

ISBN: (纸本)9783030901950

In this paper, hypotheses of target detection features is proposed when constructing the signal model. Under this condition, the Rao detection method is extended to weak echo signal detection using multi-satellite illumination. Furthermore, a multi-satellite weak echo signal detection algorithm is proposed based on Rao detection. When the noise variance is unknown, the Rao detector is designed according to the existence of an interfering target. Moreover, the detector’ detection thresholds are obtained given the false alarm probability, respectively. Finally, we evaluate the Rao detection performance in different situations with extensive simulations. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： Satellites

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Leakages Estimation in RF-SIC System Based on Software Defined Radio

Leakages Estimation in RF-SIC System Based on Software Defin...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Yimeng Sun Qianyin Xiang Xiaoguo Huang Dinghong Jia Quanyuan Feng School of Information Science and Technology Southwest Jiaotong University Chengdu China Science and Technology on Communication Information Security /Control Laboratory Jiaxing China The 41st Institute of CETC Qingdao China

ISBN: (纸本)9781665482271

The paper realizes the estimation of the vector characteristics of the circulator leakage channel for in-band full-duplex self-interference cancellation system based on software defined radio technique. The magnitude and phase responses of the circulator leakage channel are measured by using FFT and cross-correlation algorithm, respectively. USRP B210 and GNU Radio are used for the demonstration. In order to avoid the random phase error, the USRP B210 implements double-receive coherent reception architecture, and initial calibration are required before measuring the vector characteristics of the circulator leakage channel.

关键词： Phase measurement Software algorithms Measurement uncertainty Circulators Estimation Channel estimation Computer architecture

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A Novel Tunable LC Bandpass Filter with Constant Bandwidth based on Mixed Coupling

A Novel Tunable LC Bandpass Filter with Constant Bandwidth b...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Longchuan Liu Qianyin Xiang Mingye Fu Dinghong Jia Xiaoguo Huang Quanyuan Feng School of Information Science and Technology Southwest Jiaotong University Chengdu China Ceyear Technologies Co. Ltd Qingdao China Science and Technology on Communication Information Security/Control Laboratory Jiaxing China

ISBN: (纸本)9781665482271

In this paper, a novel mixed coupling tunable LC bandpass filter (BPF) with constant bandwidth is proposed. The introduction of the magnetic-dominant mixed coupling topology can not only generate transmission zeros for strong out-of-band rejection, but also compensate for bandwidth to achieve constant bandwidth while tuning. Measurement results show that the central frequency tuning range of designed filter is from 85 MHz to 300 MHz with -3dB bandwidth in the range of 22 MHz to 39 MHz.

关键词： Band-pass filters Couplings Magnetic separation Millimeter wave technology Millimeter wave measurements Bandwidth Frequency measurement

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