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A Sequential Rotation Filtering Network for High Circular Polarization Purity Antenna Array

IEEE Microwave and Wireless technology Letters 2025年第4期35卷 428-431页

作者： Wu, Sifan Li, Jianxing Yao, Jiahui Cao, Yuanxi Xu, Kai-Da Xi'an Jiaotong University Shaanxi Key Laboratory of Deep Space Exploration Intelligent Information Technology School of Information and Communications Engineering Xi'an710049 China University of Electronic Science and Technology of China Zhejiang Quzhou324000 China

This letter introduces a sequential rotation filtering network (SRFN), enabling a 16×16 antenna array to achieve high circular polarization (CP) purity and enhanced frequency selectivity. The proposed SRFN integrates filtering, power dividing, and phase shifting functions, providing phase states of 0°, 90°, 180°, and 270° at the four output ports with 7th-order filtering response. Moreover, four sets of 8×8 subarrays are arranged orthogonally and connected to the outputs of the SRFN. Finally, a 16×16 antenna array is monolithically fabricated using the 3-D printing technology. Measurement results demonstrate an operating bandwidth (return loss >10 dB) of 27.7-29.6 GHz, with the radiation gain ranging from 29.5 to 30.5 dBic. Due to the proposed SRFN, the in-band axial ratio (AR) remains lower than 0.5 dB, while the out-of-band realized gain suppression exceeds 30 dB/GHz. The proposed SRFN methodology serves as an integrated feeding network for antenna arrays requiring high CP purity and frequency selectivity. © 2023 IEEE.

关键词： Circular polarization

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Acoustic logic networks realized with non-Hermitian and nonlocal metagratings

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Physical Review Applied 2024年第2期22卷 024048-024048页

作者： Hanjie Xiao Chuanxin Zhang Ying Li Dean Ta Xue Jiang Department of Biomedical Engineering School of Information Science and Technology State Key Laboratory of Integrated Chips and System

This paper proposes the concept and demonstrates the realization of acoustic logic networks (ALNs), a system that performs various logic operations using sound waves. Unlike traditional systems with separate components, ALNs integrate multiple logic functionalities with a single platform, performing operations like and, or, and xor gates, similar to those used in electronic computers. The design of ALNs leverages the non-Hermitian and nonlocal metagratings. By considering the intricate nonlocal interaction within the structure, the metagratings are designed to operate at exceptional points (EPs) to achieve the desired logic functions. Two metagratings are cascaded to construct the acoustic logic module (ALM), which acts as the basic building block of an ALN. The effectiveness of ALNs is confirmed through theoretical calculations, numerical simulations, and experiments. We demonstrate the ability to perform complex logic operations and realize various multichannel computing functions with the ALN of different configurations. These results showcase precise control over sound waves and significantly enhanced computing capabilities. The proposed ALNs represent a significant step forward in acoustic computing. This technology has the potential to revolutionize fields where traditional electronic computing might be impractical due to size, energy efficiency, or environmental limitations.

关键词： Acoustic modeling Acoustic wave phenomena Nonlocality Acoustic metamaterials Devices for digital logic, storage & processing Metagratings Non-Hermitian systems Sound wave techniques

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GNN-Assisted BiG-AMP: Joint Channel Estimation and Data Detection for Massive MIMO Receiver

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IEEE Transactions on Wireless Communications 2025年第6期24卷 4631-4646页

作者： Liu, Zishen Wu, Nan He, Dongxuan Yuan, Weijie Li, Yonghui Quek, Tony Q. S. School of Information and Electronics Beijing Institute of Technology Beijing100081 China School of System Design and Intelligent Manufacturing Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen518055 China School of Electrical and Information Engineering The University of Sydney SydneyNSW2008 Australia Singapore University of Technology and Design 487372 Singapore Department of Electronic Engineering Kyung Hee University Yongin17104 Korea Republic of

In this paper, we develop a graph neural network (GNN)-assisted bilinear inference approach to enhance the receiver performance of the MIMO system through message passing-based joint channel estimation and data detection (JCD). Specifically, based on the bilinear generalized approximate message passing (BiG-AMP) framework and conditional correlation of signal, we propose a GNN-assisted BiG-AMP (GNN-BiGAMP) approach, which integrates a GNN module into the data-detection-loop to compensate the inaccurate marginal likelihood approximation. By leveraging the coupling between the channel and received symbols, a bilinear GNN-assisted BiG-AMP (BiGNN-BiGAMP) JCD receiver is further proposed. This method incorporates two GNNs with similar graph representation into the bilinear posterior estimation loops, which not only compensates for approximation errors but also alleviates performance loss due to premature variance convergence, thereby enhancing the receiver performance significantly. To fully exploit the supervised information from channel estimation and data detection, we propose a multitask learning based training scheme, which coordinates GNNs with different tasks in two loops. Simulation results show that our proposed GNN-assisted JCD receivers significantly outperform other JCD counterparts in terms of both channel estimation and data detection. © 2025 IEEE. All rights reserved.

关键词： Graph neural networks

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Dynamic Spectrum Anti-Jamming with Distributed Learning and Transfer Learning

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China Communications 2023年第12期20卷 52-65页

作者： Xinyu Zhu Yang Huang Delong Liu Qihui Wu Xiaohu Ge Yuan Liu Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China The 723 Institute of CSSC Yangzhou 225001China School of Electronic Information and Communications Huazhong University of Science and TechnologyWuhan 430074China School of Electronic and Information Engineering South China University of TechnologyGuangzhou 510641China

Physical-layer security issues in wireless systems have attracted great *** this paper,we investigate the spectrum anti-jamming(AJ)problem for data transmissions between *** fast-changing physical-layer jamming attacks in the time/frequency domain,frequency resources have to be configured for devices in advance with unknown jamming patterns(*** time-frequency distribution of the jamming signals)to avoid jamming signals emitted by malicious *** process can be formulated as a Markov decision process and solved by reinforcement learning(RL).Unfortunately,stateof-the-art RL methods may put pressure on the system which has limited computing *** a result,we propose a novel RL,by integrating the asynchronous advantage actor-critic(A3C)approach with the kernel method to learn a flexible frequency pre-configuration ***,in the presence of time-varying jamming patterns,the traditional AJ strategy can not adapt to the dynamic interference *** handle this issue,we design a kernelbased feature transfer learning method to adjust the structure of the policy function *** results reveal that our proposed approach can significantly outperform various baselines,in terms of the average normalized throughput and the convergence speed of policy learning.

关键词： A3C anti-jamming reinforcement learning spectrum transfer learning wireless system

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Acronym Identification Based on SpanBERT-CRF 3

Acronym Identification Based on SpanBERT-CRF

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3rd International Conference on Artificial Intelligence and Electromechanical Automation, AIEA 2022

作者： Ou, Lizhen Luo, Xueshan Li, Xinmeng Chen, Peipei Science and Technology on Information System Engineering Laboratory National University of Defense Technology Changsha China

ISBN: (纸本)9781510657281

Acronym Identification means to recognizing acronyms and their definitions in a given paragraph by an algorithm. Existing studies have shown that the pre-training model has significant performance advantages in acronyms recognition. However, the vanilla Bert measures randomly masking tokens in the pre-training, which may also abbreviate the token of acronyms in sentence. The continuous masking method will be more helpful to the recognition and interpretation of acronyms. In this paper, we propose to use the SpanBERT model for acronym recognition and obtaining the transfer relationship between indicators with the help of a conditional random field (CRF). Through experimental comparison, the results demonstrate that our method increases the F1 value compared with the Bert and BERT-CRF models. © 2022 SPIE.

关键词： Random processes

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Template synthesis of copper azide primary explosive through Cu2O@HKUST-1 core-shell composite prepared by “bottle around ship” method

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Defence technology（防务技术） 2023年第7期25卷 99-111页

作者： Xu-wen Liu Yan Hu Jia-heng Hu Jia-xin Su Cai-min Yang Ying-hua Ye Rui-qi Shen School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing210094China Micro-Nano Energetic Devices Key Laboratory Ministry of Industry and Information TechnologyNanjing210094China

Copper azide(CA), as a primary explosive with high energy density, has not been practically used so far because of its high electrostatic sensitivity. The Cu2O@HKUST-1 core-shell structure hybrid material was synthesized by the “bottle around ship” methodology in this research by regulating the dissolution rate of Cu2O and the generation rate of metal-organic framework(MOF) materials. Cu2O@HKUST-1 was carbonized to form a Cu O@porous carbon(CuO@PC) composite material. CuO@PC was synthesized into a copper azide(CA) @PC composite energetic material through a gas-solid phase in-situ azidation *** is encapsulated in PC framework, which acts as a nanoscale Faraday cage, and its excellent electrical conductivity prevents electrostatic charges from accumulating on the energetic material’s surface. The CA@PC composite energetic material has a CA content of 89.6%, and its electrostatic safety is nearly 30times that of pure CA(1.47 mJ compared to 0.05 mJ). CA@PC delivers an outstanding balance of safety and energy density compared to similar materials.

关键词： Composite energetic materials Copper azide Carbonization Template method Core-shell composite Electrostatic safety

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Anti-corrosive and highly reversible zinc metal anode enabled by the phenolic resin coating

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Rare Metals 2024年第5期43卷 2115-2124页

作者： Ya-Ping Wang Ya-Di Yang Shu-Qi Duan Li Wang Jia-Shuo Guo An-Qiang Pan School of Materials Science and Engineering Hebei University of TechnologyTianjin 300130China Key Laboratory of Special Functional Materials for Ecological Environment and Information(Hebei University of Technology).Ministry of Education Tianjin 300130China Key Laboratory for New Type of Functional Materials in Hebei Province Hebei University of TechnologyTianjin 300130China School of Materials Science and Engineering Central South UniversityChangsha 410083China

Aqueous zinc-ion batteries have attracted much attention due to their high theoretical capacity,low cost high safety,and ***,challenges such as dendrite growth and side reactions severely hinder the electrochemical performance of the Zn anode,leading to low Coulombic efficiency(CE)or even short circuits Herein,phenolic resin(PF)is used as a protective coating on the surface of the zinc metal *** PF layer can greatly improve the corrosion resistance of the Zn electrode in the ***,this artificial electrode/electrolyte interphase also elevates the nucleation barrier and restrains Zn^(2+)2D diffusion,regulating the zinc deposition/dissolution *** a result,PF@Zn symmetric cells exhibit superior performance than that of bare Zn symmetric cells,achieving a stable and dendrite-free cycle of 1400 ***,the carbon nanotube MnO_(2)||PF@Zn(CNT/MnO_(2)||PF@Zn)full cell also delivers a long cycle life with a high-capacity retention of about 180.0 m Ah·g^(-1)after 1400 cycles,far exceeding that of bare Zn *** work provides a facile strategy for achieving a dendrite-free and rechargeable zinc anode.

关键词： Rechargeable aqueous batteries Zn metal anode Phenolic resin Anti-corrosion

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Multivariable identification of membrane fouling based on compacted cascade neural network

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Chinese Journal of Chemical engineering 2023年第1期53卷 37-45页

作者： Kun Ren Zheng Jiao Xiaolong Wu Honggui Han Faculty of Information Technology Beijing University of TechnologyBeijing 100124China Engineering Research Center of Digital Community Ministry of EducationBeijing 100124China Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing 100124China

The membrane fouling phenomenon,reflected with various fouling characterization in the membrane bioreactor(MBR)process,is so complicated to *** paper proposes a multivariable identification model(MIM)based on a compacted cascade neural network to identify membrane fouling ***,a multivariable model is proposed to calculate multiple indicators of membrane fouling using a cascade neural network,which could avoid the interference of the overlap ***,an unsupervised pretraining algorithm was developed with periodic information of membrane fouling to obtain the compact structure of ***,a hierarchical learning algorithm was proposed to update the parameters of MIM for improving the identification accuracy ***,the proposed model was tested in real plants to evaluate its efficiency and *** results have verified the benefits of the proposed method.

关键词： Membrane fouling Permeability Cascade neural networks Model Prediction

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Anti-Jamming Null Space Projection Beamforming Based on Symbiotic Radio

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Computer Modeling in engineering & sciences 2024年第1期138卷 679-689页

作者： Baofeng Ji Yifan Liu Tingpeng Li Ling Xing Weixing Wang Shahid Mumtaz Xiaolong Shang Wanying Liu Congzheng Han State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System(CEMEE) Luoyang471000China Research and Innovation Center of Intelligent System Longmen LaboratoryLuoyang471000China College of Information Engineering Henan University of Science and TechnologyLuoyang471000China Institute of Atmospheric Physics Chinese Academy of Sciences(LAGEO)Beijing100000China Instituto de Telecomunicaes Aveiro3800-005Portugal Chinese Academy of Agricultural Mechanization Sciences Beijing100000China

With the development of information technology,more and more devices are connected to the Internet through wireless communication to complete data *** to the broadcast characteristics ofwireless channels,wireless networks have suffered more and more malicious *** layer security has received extensive attention from industry and *** is considered to be one of the most important technologies related to physical layer *** beamforming technology,messages can be transmitted to legitimate users in an offset direction that is as orthogonal as possible to the interference channel to ensure the reception SINR by legitimate *** the symbiotic radio(SR)technology,this paper considers a symbiotic radio antijamming MIMO system equipped with a multi-antenna system at the main base *** order to avoid the interference signal and improve the SINR of the signal received by the *** base station is equipped with a uniform rectangular antenna array,and using Null Space Projection(NSP)Beamforming,Intelligent Reflecting Surface(IRS)can assist in changing the beam’s *** simulation results show that NSP Beamforming could make a better use of the null space of interference,which can effectively improve the received SINR of users under directional interference,and improve the utilization efficiency of signal energy.

关键词： Symbiotic radio anti-jamming MIMO NSP Beamforming physical layer security

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Interval analysis for neural networks with application to fault detection

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science China(information sciences) 2024年第11期67卷 222-237页

作者： Zhenhua WANG Youdao MA Song ZHU Thach Ngoc DINH Yi SHEN Department of Control Science and Engineering Harbin Institute of Technology National Key Laboratory of Complex System Control and Intelligent Agent Cooperation School of Mathematics China University of Mining and Technology The CEDRIC-Lab Conservatoire National des Arts et Métiers (CNAM)

This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, which can compute the bounds of the output of a feedforward neural network subject to a bounded input. By applying the proposed interval analysis method to a network trained with fault-free system data, adaptive thresholds for fault detection are computed. Finally, one can acquire fault detection results via a fault detection strategy. The proposed method can achieve tight bounds of the network output and employ simple operations, which leads to accurate fault detection results and a low computational burden.A numerical simulation and an experiment on an AC servo motor are given to illustrate the effectiveness and superiority of the proposed method.

关键词： interval analysis feedforward neural network fault detection adaptive thresholds

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