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Low-profile,low sidelobe array antenna with ultrawide beam coverage for UAV communication

Chinese Journal of Aeronautics 2025年第1期38卷 444-454页

作者： Mei LI Zhiliang SHANG Lin PU Ming-Chun TANG Lei ZHU School of Microelectronics and Communication Engineering Chongqing UniversityChongqing 400044China Department of Electrical and Computer Engineering University of MacaoMacao SAR 999078China

This paper presents a design method to implement an antenna array characterized by ultra-wide beam coverage,low profile,and low Sidelobe Level(SLL)for the application of Unmanned Aerial Vehicle(UAV)air-to-ground *** array consists of ten broadside-radiating,ultrawide-beamwidth elements that are cascaded by a central-symmetry series-fed network with tapered currents following Dolph-Chebyshev distribution to provide low ***,an innovative design of end-fire Huygens source antenna that is compatible with metal ground is presented.A low-profile,half-mode Microstrip Patch Antenna(MPA)is utilized to serve as the magnetic dipole and a monopole is utilized to serves as the electric dipole,constructing the compact,end-fire,grounded Huygens source ***,two opposite-oriented end-fire Huygens source antennas are seamlessly integrated into a single antenna element in the form of monopole-loaded MPA to accomplish the ultrawide,broadside-radiating *** consideration has been applied into the design of series-fed network as well as antenna element to compensate the adverse coupling effects between elements on the radiation *** indicates an ultrawide Half-Power Beamwidth(HPBW)of 161°and a low SLL of-25 dB with a high gain of 12 d Bi under a single-layer *** concurrent ultrawide beamwidth and low SLL make it particularly attractive for applications of UAV air-to-ground communication.

关键词： Array antenna Broad beam Fan beam Low sidelobe level Chebyshev synthesis UAV communication

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Investigation of a Transparent and Wide-Angle Reception Metasurface for Microwave Power Transfer

IEEE Electron Device Letters

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IEEE Electron Device Letters 2025年第5期46卷 821-824页

作者： Zhang, Huaiqing An, Mengyu Xiao, Hui He, Jinpeng Chongqing University School of Electrical Engineering Chongqing400044 China Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China

In this work, a novel optical transparent metasurface (OTM) for microwave power transfer is demonstrated. The conductor is based on flexible and transparent indium tin oxide (ITO). It achieves polarization-insensitive employing an "X"shaped feeding network with central symmetry. The energy loss of the proposed structure and the surface current distribution under different polarization modes during oblique incidence are studied. The simulated results show that the harvesting efficiency(HE) of polarized incident wave from 0° to 90° is greater than 60%, achieving polarization insensitivity at 5.8 GHz. The HE remains above 50% for incident angles ranging from 0° to 50°. The measured results indicate that the OTM array achieves an efficiency of 61.4% at the operating frequency point, with an HE greater than 60% for polarization-insensitive waves from 0° to 75°, consistent with the simulation results. When changing the incident angle, the HE from -40° to 40° is more than 50%, indicating its advantages of polarization insensitivity and wide-angle reception. © 1980-2012 IEEE.

关键词： Energy dissipation

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Zero-shot image segmentation for scene objects based on the L0 gradient minimization and adaptive superpixel method

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Neural Computing and Applications 2025年 1-21页

作者： Yan, Hailong Huang, Junjian Zheng, Mao Tang, Yijie School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China College of Electronic and Information Engineering Southwest University Chongqing China School of Microelectronics and Communication Engineering Chongqing University Chongqing China

This paper explores using convolutional neural networks (CNNs) for unsupervised image segmentation. The method enhances pixel labeling accuracy through superpixel and propagates back strategies. Leveraging CNN’s feature extraction capabilities, pixels are assigned labels without training data or prior knowledge. In an unsupervised context, a single image is the network’s input, and parameters are updated via gradient descent. A preprocessing module applies image smoothing before network input to improve segmentation performance. The convolutional kernels alternate between 3×3 and 1×1 sizes, and the activation functions, including ReLU and Batch Normalization, are reordered. Additionally, the Gray-Level Co-occurrence Matrix is integrated, and an adaptive superpixel method is introduced. Experimental results show significant improvements in Precision, Recall, and F1-score across corresponding datasets and superior performance in statistical indices like ARE, DH, AMI, and FMI. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025.

关键词： Convolutional neural networks

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A Morris-Lecar model with novel fast-slow structure and its FPGA implementation

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Science China Technological Sciences 2025年第5期68卷 215-225页

作者： Xihong YU Lilian HUANG Han BAO Bocheng BAO College of Information and Communication Engineering Key Laboratory of Advanced Marine Communication and Information Technology (Ministry of Industry and Information Technology)National Key Laboratory of Underwater Acoustic TechnologyHarbin Engineering University Wang Zheng School of Microelectronics Changzhou University

The Morris-Lecar model is a neuronal model designed to replicate the oscillatory activity of barnacle giant muscle fibers. This work presents a three-dimensional Morris-Lecar model with a novel fast-slow structure. The model introduces a current containing slow variables, thereby forming a new fast-slow structure with the membrane potential. Numerical results reveal the existence of two independent unstable foci and complex dynamical behaviors that include period-doubling bifurcations and spiking/bursting activities. Two types of bifurcation mechanisms for bursting activities are elucidated through theoretical analysis based on four typical bursting activities. Finally, a digital neuronal circuit was developed based on FPGA, and experimental results show good consistency with numerical results.

关键词： Morris-Lecar model fast-slow structure firing activity bifurcation mechanism digital neuronal circuit

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DRG-DCC:A Driving Risk Gaming Based Distributed Congestion Control Method for C-V2X Technology

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Computers, Materials & Continua 2025年第5期83卷 2059-2086页

作者： Lingqiu Zeng Peibing Sa Qingwen Han Lei Ye Letian Yang Cheng Zhang Jiqiang Cheng College of Computer Science Chongqing UniversityChongqing400044China School of Microelectronics and Communication Engineering Chongqing UniversityChongqing400044China

Congestion control is an inherent challenge of V2X(Vehicle to Everything)*** to the use of a broadcasting mechanism,channel congestion becomes severe with the increase in vehicle *** researchers suggested reducing the frequency of packet dissemination to relieve congestion,which caused a rise in road driving ***,high-risk vehicles should be able to send messages timely to alarm surrounding ***,packet dissemination frequency should be set according to the corresponding vehicle’s risk level,which is hard to *** this paper,a two-stage fuzzy inference model is constructed to evaluate a vehicle’s risk level,while a congestion control algorithm DRG-DCC(Driving Risk Game-Distributed Congestion Control)is ***,HPSO is employed to find optimal *** simulation results show that the proposed method adjusts the transmission frequency based on driving risk,effectively striking a balance between transmission delay and channel busy rate.

关键词： Distributed congestion control fuzzy inference driving risk evaluation game theory Nash equilibrium

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Brain Age Detection of Alzheimer’s Disease Magnetic Resonance Images Based on Mutual Information—Support Vector Regression

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Journal of Shanghai Jiaotong university(Science) 2025年第1期30卷 130-135页

作者： LIU Yuchuan LI Hao TANG Yulong LIANG Dujuan TAN Jia FU Yue LI Yongming School of Intelligent Technology and Engineering Chongqing University of Science and TechnologyChongqing401331China Communication Sergeant School Army Engineering UniversityChongqing400035China CISDI Information Technology(Chongqing)Co. Ltd.Chongqing401329China School of Microelectronics and Communication Engineering Chongqing UniversityChongqing400044China

Brain age is an effective biomarker for diagnosing Alzheimer’s disease(AD).Aimed at the issue that the existing brain age detection methods are inconsistent with the biological hypothesis that AD is the accelerated aging of the brain,a mutual information—support vector regression(MI-SVR)brain age prediction model is ***,the age deviation is introduced according to the biological hypothesis of ***,fitness function is designed based on mutual information ***,support vector regression and fitness function are used to obtain the predicted brain age and fitness value of the subjects,*** optimal age deviation is obtained by maximizing the fitness ***,the proposed method is compared with some existing brain age detection *** results show that the brain age obtained by the proposed method has better separability,can better reflect the accelerated aging of AD,and is more helpful for improving the diagnostic accuracy of AD.

关键词： brain age Alzheimer’s disease(AD) mutual information-support vector regression(MI-SVR) age deviation

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Highly-Efficient Broadband GaAs HBT Doherty Power Amplifier With Harmonic Control Technique for 5G Application

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IEEE Transactions on Circuits and Systems II: Express Briefs 2025年第5期72卷 713-717页

作者： Liu, Shuang Pang, Jingzhou Gao, Ruibin Dai, Zhijiang Li, Mingyu Chen, Shichang Shi, Weimin Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China Shaoxing Integrated Circuit Institute Hangzhou Dianzi University Hangzhou310018 China

This brief presents the design and fabrication of a highly-efficient Doherty power amplifier (DPA) for 5G n77 and n78 bands. The proposed architecture is based on a 2-μm GaAs heterojunction bipolar transistor (HBT) process to realize a monolithic microwave integrated circuit (MMIC) with an area of 1.7 x 1.4 mm2 . Additionally, An output network is designed in conjunction with the load modulation network on the Rogers 4350 PCB, which is augmented with high-order harmonic control circuit for efficiency enhancement. The proposed DPA, operating within the 3.1-4.2 GHz range, exhibits a fractional bandwidth over 30%, a saturated output power over 33.8 dBm, a saturated power-added efficiency (PAE) ranging from 39.6% to 44.9%, and a 6 dB power back-off (PBO) PAE of 42.3% to 46.1%. © 2004-2012 IEEE.

关键词： III-V semiconductors

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Acoustic Feature Analysis of 53 Marine Biological Audio 16

Acoustic Feature Analysis of 53 Marine Biological Audio

引用

16th International Conference on Signal Processing Systems, ICSPS 2024

作者： Yan, Yunchuan Zhang, Sijie Liu, Xiao School of Microelectronics and Communication Engineering Chongqing University 55 University Town South Road Chongqing China

ISBN: (纸本)9781510689251

Driven by various needs such as biomimetic applications and ecological civilization construction, a large number of studies on marine animal acoustics have emerged, among which the most fundamental is the research on acoustic characteristics. We use Matlab and the signalanalyzer tool to extract 33 feature parameters from 53 audio samples of 8 whale species, 9 dolphin species, and 14 species of fish in the Carangidae family from the open databases. And we plot the spectrogram and spectrum chart of each audio sample and identify significant features such as spectral entropy, spectrum chart, and spectrogram. Starting from basic acoustic characteristics, we analyze 53 marine biological audio files, which helps to understand and master the acoustic properties of marine sound-producing organisms, and contributes to research on marine ecological protection and underwater target identification technologies. © 2025 SPIE.

关键词： Spectrographs

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Bidirectional Retroreflective Optical ISAC Using Time Division Duplexing and Clipped OFDM

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IEEE Photonics Technology Letters 2025年第10期37卷 587-590页

作者： Wang, Haochuan Chen, Chen Zeng, Zhihong Shao, Sihua Haas, Harald Chongqing University School of Microelectronics and Communication Engineering Chongqing400044 China Colorado School of Mines Department of Electrical Engineering GoldenCO80401 United States University of Cambridge Department of Engineering CambridgeCB3 0FA United Kingdom

Optical integrated sensing and communication is one of the most promising technologies for the sixth-generation (6G) networks due to its large transmission capacity and high sensing accuracy. In this Letter, we propose and experimentally demonstrate a bidirectional retroreflective optical integrated sensing and communication (RO-ISAC) system using time division duplexing (TDD) and clipped orthogonal frequency division multiplexing (OFDM). The proposed bidirectional RO-ISAC system consists of a downlink device and an uplink device, where the uplink device uses a corner cube reflector (CCR) to reflect the downlink signal back to the downlink device so as to perform passive ranging. To avoid the interference between the reflected downlink signal and the uplink signal, we here propose a TDD-based interference cancellation scheme for the bidirectional RO-ISAC system, where two types of guard intervals (GIs) including fixed GI and adaptive GI are considered. Moreover, clipped OFDM is adopted as the waveform to realize simultaneous communication and sensing. © 1989-2012 IEEE.

关键词： Orthogonal frequency division multiplexing

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CFragHMM – a traffic accident critical fragments evaluation and recognition model

CFragHMM – a traffic accident critical fragments evaluation...

引用

2025 Australian and New Zealand Control Conference, ANZCC 2025

作者： Han, Qingwen Tan, Mingdeng Song, Xinyue Ye, Lei Zeng, Lingqiu Liu, Ke Qi, Lingfeng School of Microelectronics and Communication Engineering Chongqing University Chongqing400044 China College of Computer Science Chongqing University Chongqing400044 China

ISBN: (纸本)9798331532192

The results of driving risk assessment are crucial for the development of driving safety warning strategys. In general, the driving risk assessment of road vehicles is determined by a combination of cruising characteristics and external road traffic conditions. However, the nature of driving accidents evolves gradually, and in order to detect potential accident events, common characteristics prior to the accident should be observed and investigated. Therefore, in this paper, a new concept, critical fragment, is proposed to express driving risk evolution. A series of impact factors are discussed, and XGBoost is used to select critical features. The Hidden Markov Model(HMM) is then designed to recognize critical fragments. Finally, the CFragHMM model proposed in this paper is obtained. The experimental results show that the proposed method is able to recognize the key segments well and provide basic information support for the timing selection that can be used as a traveling warning. © 2025 IEEE.

关键词： Hidden Markov models

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