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2021 IEEE International Conference on Electronic technology, communication and information, ICETCI 2021

作者： Lijun, Wang Yu, Han Pan, Zhou Hongfang, Ge Lei, Shen Science and Technology on Communication Information Security Control Laboratory Jiaxing China The 36th Research Institute of China Electronics Technology Group Corporation Jiaxing China School of Communication Engineering Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781665432511

Aiming at the modulation recognition problem of mixed signal set {BPSK, QPSK, BPSK-FM, QPSK-FM} with unknown parameters, this paper proposes a modulation recognition algorithm based on two-fold PLL (phase locked loop) and goodness of fit test. The PLL is used to extract the features of the composite modulation signal, and the goodness of fit test is used to measure the distance of the phase cumulative distribution of the demodulation information. Theoretical analysis and simulation results show that the performance of the recognition method based on two-fold PLL and goodness of fit test is better than the widely used modulation recognition method based on constellation. ©2021 IEEE.

关键词： Phase locked loops

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Polarization-Space-Time Processing in Mainlobe Blanket Jamming via CP Decomposition

Polarization-Space-Time Processing in Mainlobe Blanket Jammi...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Bunian Pan Bing Wang Luxin Dong Xue Yao 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 School of Information Science and Engineering Southeast University Nanjing China

This paper deals with the problem of mainlobe jamming suppression for phased-array radar system via a joint polarization-space-time processing method resorting to tensor decomposition. Firstly, a dual-polarization receiving array model is established. Then, base on the polarization-space-time characteristics, CANDECOMP/PARAFAC (CP) decomposition is leveraged to recast the received signals as a third-order tensor consisting of three factor matrices. Further, the target echo and the jamming signal can be obtained via minimizing the Frobenius norm of the approximation error between the factor matrices and their iteration forms. Finally, the effectiveness of the proposed method by numerical simulation is verified, showing its capability to resist mainlobe jamming compared with the art competing method.

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Feature Distribution Distillation-Based Few Shot Class Incremental Learning 5

Feature Distribution Distillation-Based Few Shot Class Incre...

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5th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2022

作者： Zhu, Juntao Yao, Guangle Zhou, Wenlong Zhang, Guiyu Ping, Wang Zhang, Wei Chengdu610059 China Artificial Intelligence Key Laboratory of Sichuan Province Yibin643000 China Sichuan University of Science & Engineering School of Automation & Information Engineering Yibin64300 China Chengdu Technological University Communication Engineering School Chengdu611730 China University of Electronic Science and Technology of China School of Information and Communication Engineering Sichuan Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Sichuan Chengdu610036 China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

This paper focuses on the challenging but practical problem: convolutional neural networks (CNN) based few-shot class-incremental learning (FSCIL), which requires learning new knowledge incrementally from a few examples without forgetting the previously learned knowledge. To balance the memory of the old knowledge and the adaptation to the new knowledge, we propose a feature distribution distillation-based incremental learning framework. First, we freeze the shallow parameters of the network to alleviate the massive forgetting of the learned knowledge. Then, we propose a feature distribution-based knowledge distillation loss to transfer the previously knowledge. Finally, we also generate the classification weights initialization for each new class to improve the adaptation of the network. Extensive experiments show that our proposed method can effectively alleviate the forgetting of the previously knowledge and improve the adaptability to the new knowledge. Our method outperforms other state-of-the-art few-shot class incremental learning methods on MiniImageNet dataset and gets a competitive result on CIFAR-100 dataset. © 2022 IEEE.

关键词： Distillation

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communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity

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IEEE Transactions on Cognitive communications and Networking 2025年

作者： Tian, Zhuojun Zhang, Zhaoyang Li, Yiwei Bennis, Mehdi Zhejiang University College of Information Science and Electronic Engineering Hangzhou310027 China University of Oulu Center for Wireless Communications Oulu90014 Finland State Key Laboratory of Industrial Control Technology Hangzhou310027 China Zhejiang Provincial Key Laboratory of Multimodal Communication Networks and Intelligent Information Processing Hangzhou310027 China Xiamen University of Technology Fujian Key Laboratory of Communication Network and Information Processing Xiamen361024 China

To jointly tackle the challenges of data and node heterogeneity in decentralized learning, we propose a distributed strong lottery ticket hypothesis (DSLTH), based on which a communication-efficient personalized learning algorithm is developed. In the proposed method, each local model is represented as the ‌Hadamard product of global real-valued parameters and a personalized binary mask for pruning. The local model is learned by updating and fusing the personalized binary masks while the real-valued parameters are fixed among different agents. To further reduce the complexity of hardware implementation, we incorporate a group sparse regularization term in the loss function, enabling the learned local model to achieve structured sparsity. Then, a binary mask aggregation algorithm is designed by introducing an intermediate aggregation tensor and adding a personalized fine-tuning step in each iteration, which constrains model updates towards the local data distribution. The proposed method effectively leverages the relativity among agents while meeting personalized requirements in heterogeneous node conditions. We also provide a theoretical proof for the DSLTH, establishing it as the foundation of the proposed method. Numerical simulations confirm the validity of the DSLTH and demonstrate the effectiveness of the proposed algorithm. © 2015 IEEE.

关键词： Iterative methods

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A Robust and Scalable One-PUF-to-Many Authentication and Key Agreement Scheme for Mobile communication Network

A Robust and Scalable One-PUF-to-Many Authentication and Key...

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International Conference on Networking and Network Applications (NaNA)

作者： Yiteng Wang Zhe Ren Wei Wang Science and Technology on Communication Information Security Control Laboratory The 36th Research Institute of China Electronics Technology Group Corporation Jia'xing China School of Cyber Engineering Xidian University Xi'an China

Under the multi-cloud environment of mobile communication networks, unattended terminals would possibly be involved in different tasks. For the network security, terminals should be authenticated by cloud service providers (CSPs) before being involved in various tasks. As a new cryptology primitive, Physical Unclonable Function (PUF) can be served as a trusted root for unattended terminals and provide security property against physical attacks, based on which physical secure authentication can be executed. However, applying the PUF directly to the multi-cloud environment caused the authentication scheme to rely on the storage of the primitive challenge-response pairs, and there was a single point of failure problem. To solve these issues, we propose an authentication and key agreement scheme named RSOPM for secure authentication between terminals and CSPs. Specifically, mutual authentication without the storage of the primitive challenge-response pairs on the cloud is enabled by exploiting the trapdoor collision property of the chameleon hash function. Moreover, the redactable blockchain containing distributed registration information makes a terminal register only once, and then the terminal gains access to the various CSPs. The security properties are discussed to show our scheme resists various attacks. The results of experiments show that the overall delay is reduced by 33 % compared to other multi-cloud authentication schemes.

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An Analysis of Routing Simulation technology of Unmanned Cluster Based on OPNET 1

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

作者： Dai, Jiahao Wang, Yuhui Zhu, Huijie Ren, Yongji Science and Technology on Communication Information Security Control Laboratory Harbin China China Electronic Corporation NO. 36 Institute Zhejiang Jiaxing China Naval Aviation University Changzhi China

ISBN: (数字)9783030901998

ISBN: (纸本)9783030901981

The military strategic guideline under the new situation points out that the base point of future war preparation is to win the informationized war mainly from the direction of unmanned cluster. Routing protocol is an important part of unmanned network communication system, and it is one of the most challenging tasks in unmanned network. This paper simulates five protocols, AODV, DSR, OLSR, TORA and GRP, analyzes the characteristics of each protocol under different circumstances, finds suitable protocols for unmanned trunking communication network under different environments, and provides suggestions for the establishment of a reasonable network. © 2021, ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering.

关键词： OPNET Routing protocol Unmanned cluster

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Geometric Dilution of Precision for Far-Distance TDOA Location of Shortwave 2

Geometric Dilution of Precision for Far-Distance TDOA Locati...

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2nd information communication Technologies Conference, ICTC 2021

作者： Yang, Xin Ye, Yun-Xia No.36 Research Institute of Cetc Jiaxing Zhejiang China No.36 Research Institute of Cetc Science and Technology on Communication Information Security Control Laboratory Jiaxing Zhejiang China

ISBN: (纸本)9780738142876

A method of time difference of arrival (TDOA) location for shortwave signal source by four receiving stations is introduced. The precision of time difference and the Geometric Dilution of Precision (GDOP) of TDOA location are analyzed and simulated. The results show that TDOA estimation performance is positively correlated with signal bandwidth, signal cumulative time and signal-to-noise ratio (SNR), while TDOA location precision is positively correlated with TDOA estimation precision and distance between the receiving stations. At the same time, the simulation analysis of station arrangement among multiple stations is carried out, and the results show that Y-shaped station mode gets the best location effect. © 2021 IEEE.

关键词： Time difference of arrival

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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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Federated-TD3:Joint Computing Offloading and Resource Allocation in Urban Air Mobility

Federated-TD3:Joint Computing Offloading and Resource Alloca...

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IEEE International Conference on communications in China Workshops (ICCC)

作者： Zhonghao Luo Chunyu Pan Sihua Wang Linyan Guo The Key Laboratory of Information and Communication Systems Ministry of Information Industry and the Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China The Beijing Laboratory of Advanced Information Network Beijing University of Posts and Telecommunications Beijing China The Department of Electronics and Communication Engineering Hong Kong University of Science and Technology Hong Kong China School of Geophysics and Information Technology China University of Geosciences Beijing Beijing China

ISBN: (数字)9798350377675

ISBN: (纸本)9798350377682

With rapid urban population growth and urban-ization, along with increasing demand for developing the low- altitude economy, urban air mobility (UAM) is seen as a way to alleviate ground traffic congestion and promote the low-altitude economy. Due to frequent data computation, low latency require-ments, and limited energy, effective computation offloading and resource management are urgently needed. This paper assumes UAM aircraft transmit semantic information and proposes a computation offloading and resource allocation strategy based on edge computing (EC). In case of edge server failure, relay UAV s assist in information transmission, enabling UAM aircraft to offload tasks to other edge servers. We formulated an op-timization problem to minimize delay and energy consumption and designed the Federated- Td3algorithm, combining federated learning (FL) and twin delayed deep deterministic policy gradient (TD3). Compared to two baseline algorithms, our algorithm reduced delay by 9.9% and 3.3%, and energy consumption by 14.1 % and 4.5%.

关键词： Energy consumption Semantics Delays Resource management Servers Aircraft Relays Traffic congestion Edge computing Testing

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A Data Association Method Based on Azimuth Inverse Cotangent Value

A Data Association Method Based on Azimuth Inverse Cotangent...

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International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Nan Zou Muze Yin Guangpu Zhang Zhenqi Yang Pengbo Ma Dongyu Li National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China Science and Technology on Electronic Information Control Laboratory Chengdu China

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

In this paper, we address the challenge of data association in scenarios involving multiple observers for underwater non-cooperative localization, where it is unclear how measurement data from different stations corresponds to the same target. We propose a novel data association method that leverages the inverse cotangent of azimuthal sequence features. The method first calculates the sequence of cotangent values measured by each station's bearing in a limited time. Linearly analyzes the sequence to obtain the slope, and finally realizes the data association according to the characteristic that the inverse cotangent value of the slope corresponds to the target's motion heading. The simulation results show that the proposed method has better association localization ability compared with the traditional method, overcomes the problem of the conventional method that the computational volume is too large when the number of observation stations and targets is large, and ensures the association correctness under a certain error.

关键词： Location awareness Power engineering Accuracy Azimuth Simulation Noise Observers Time measurement

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