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电子与信息学报 2025年第3期47卷 696-706页

作者：赵子健许述文水鹏朗西安电子科技大学雷达信号处理全国重点实验室西安710071

海面小目标识别是海事雷达监视任务中一个重要且具有挑战性的问题。由于海面小目标类型多样、环境复杂多变,对其进行有效分类存在较大困难。在高分辨体制雷达下,海面小目标通常只占据一或几个距离单元,缺乏足够的空间散射结构信息,因此... 详细信息

海面小目标识别是海事雷达监视任务中一个重要且具有挑战性的问题。由于海面小目标类型多样、环境复杂多变,对其进行有效分类存在较大困难。在高分辨体制雷达下,海面小目标通常只占据一或几个距离单元,缺乏足够的空间散射结构信息,因此目标的雷达截面积(RCS)起伏和径向速度变化成为分类的主要依据。为此,该文提出一种基于多域雷达回波数据融合的分类网络模型,用于海面小目标的分类任务。由于不同域的数据具有其特殊的物理意义,因此该文构建了时域LeNet(T-LeNet)神经网络模块和时频特征提取神经网络模块,分别从雷达海面回波信号的幅度序列和时频分布(TFD)即时频图中提取特征。其中幅度序列主要反映了目标RCS的起伏特性,而时频图不仅反映RCS起伏特性,还能体现目标径向速度的变化。最后,利用IPIX,CSIR数据库和自测的无人机数据集构建了包括4种海面小目标的数据集:锚定漂浮小球、漂浮船只、低空无人机(UAV)和移动的快艇。实验结果表明所提方法具有良好的识别能力。

关键词：海面小目标目标分类多特征融合神经网络

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IMGAN: Infrared and visible image fusion using a novel intensity masking generative adversarial network

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INFRARED PHYSICS & TECHNOLOGY 2022年第0期125卷

作者： Sun, Xiuyi Hu, Shaohai Ma, Xiaole Hu, Qiu xu, shuwen Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Network Technol Beijing Key Lab Adv Informat Sci Beijing 100044 Peoples R China Third Res Inst China Elect Technol Grp Corp Beijing 100015 Peoples R China

Fusion methods based on a deep convolutional neural network enable to catch visible details and infrared in-tensity. However, it is insufficient for most fusion models to extract the hierarchical features of visible images, leading to the loss of detailed information such as texture features in the final fused images. This paper proposes an unsupervised infrared and visible fusion model based on a novel intensity masking adversarial learning network (IMGAN). A designed deep generator with a residual dense attention module in the network can not only make full use of all characteristics of convolution layers but also achieve the more accurate extraction of visible detailed texture. Two discriminators are employed to balance the fused information, making it possible for the fused image to reserve much more information from source images. An infrared intensity masking loss is also proposed to reserve more detailed texture features in the weaker infrared area of the visible image. Furthermore, a large number of compared experiments with the infrared and visible benchmark datasets demonstrate the superiority of our IMGAN than the state-of-the-art methods in terms of both human eye visual perception and quantitative evaluation metrics. Our IMGAN can retain the infrared target information well and secure more detailed textures from the visible image.

关键词： Intensity masking loss Residual dense attention module Dual -discriminator Generative adversarial network Infrared and visible image fusion

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Non-Line-of-Sight Localization of Passive UHF RFID Tags in Smart Storage Systems

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IEEE TRANSACTIONS ON MOBILE COMPUTING 2022年第10期21卷 3731-3743页

作者： Gui, Linqing xu, shuwen Xiao, Fu Shu, Feng Yu, Shui Nanjing Univ Posts & Telecommun Coll Comp Nanjing 210003 Peoples R China Nanjing Univ Posts & Telecommun Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing 210003 Peoples R China Nanjing Univ Sci & Technol Sch Elect & Opt Engn Nanjing 210094 Peoples R China Univ Technol Sydney Sch Comp Sci Sydney NSW 2007 Australia

The UHF radio-frequency identification (RFID) has gained growing attention for tagged object localization in smart storage systems. Due to Non-Line-Of-Sight (NLOS) condition, it is challenging to accurately locate the position of tags inside closed spaces. In this paper, we propose a precise and cost-effective solution for tagged object localization in closed spaces, using only received signal strength (RSS) information. We establish a RSS profile for each tag and discover some important features of RSS profiles including uniqueness, time-variation, column-dependence and waveform-similarity. Based on these features, we propose a reference-free RSS-profile (RFRP) localization scheme. The advantage of our propose scheme is to accurately localize multiple tags in closed spaces by overcoming the challenges including the lack of pre-deployed reference tags, NLOS propagation, multi-path propagation and coupling effect. The RFRP scheme first roughly estimates tags' coordinates based on Peak Asymmetry Factor, then acquires reference-tag substitutes through the similarity of RSS sequences. Subsequently, our scheme refines the relative positions of all tags by these substitutes. Finally all tags' absolute positions are estimated through a RSS-ranging model. Extensive experiment results demonstrate that our approach can achieve high ordering accuracy and localization accuracy for the tags inside closed spaces.

关键词： Location awareness Radiofrequency identification Antennas Antenna arrays Phase measurement Hardware Antenna measurements UHF RFID non-line-of-sight (NLOS) localization RSS

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Adaptive Coherent Detection for Maritime Radar Range-Spread Targets in Correlated Heavy-Tailed Sea Clutter With Lognormal Texture

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2024年 21卷 1-5页

作者： xue, Jian Fan, Zhen xu, shuwen Xian Univ Posts & Telecommun Sch Commun & Informat Engn Xian 710121 Peoples R China Xian Univ Posts & Telecommun Sch Artificial Intelligence Xian 710121 Peoples R China Xidian Univ Natl Lab Radar Signal Proc Xian 710071 Peoples R China

This letter addresses the problem of adaptive coherent detection of maritime high-resolution radar range-spread targets in correlated heavy-tailed sea clutter. We first model radar sea clutter by the compound Gaussian model with lognormal texture and unknown speckle covariance matrix. The lognormal-distributed texture can capture the tail level of sea clutter, and the speckle covariance matrix contains the pulse-to-pulse correlation of sea clutter. Then, based on the two-step generalized likelihood ratio test and the maximum a posteriori (MAP) estimation of unknown parameters, an adaptive coherent generalized likelihood ratio test with a lognormal texture detector is proposed to detect radar range-spread targets. The proposed detector can be adaptive to clutter power mean, non-Gaussianity, and pulse-to-pulse correlation. The performance evaluation experiments on simulated and measured data show that the proposed detector outperforms conventional adaptive detectors. More specifically, the detection results on measured data indicate that when the number of target range cells is 3 and the probability of detection reaches 0.8, the proposed detector has a signal-to-clutter ratio gain of about 1 dB over its competitors.

关键词： Clutter Radar Radar detection Radar clutter Detectors Speckle Object detection Adaptive coherent detection lognormal texture range-spread target sea clutter

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A silver-mediated radical process of β-keto sulfones for the synthesis of 2,3-diacyl furans

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ORGANIC & BIOMOLECULAR CHEMISTRY 2024年第9期22卷 1770-1774页

作者： Fan, Jian Zu, Yanhong Zheng, Zhimin Song, Lulu Wang, Yating Zhou, Zhou Liu, Yujun xu, shuwen Anhui Acad Sci & Technol Hefei 230088 Peoples R China Univ Sci & Technol China Hefei 230026 Peoples R China

A facile and efficient method for constructing 2,3-diacyl trisubstituted furans via a silver-mediated radical process of beta-keto sulfones is developed. The reaction mechanism has been carefully investigated, revealing that the transformation proceeds through a radical pathway, leading to moderate to good yields of desired products. A concise synthesis of 2,3-diacyl furans through the intermolecular reaction of beta-keto sulfones with their own three components is developed.

关键词： Silver

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Fault-tolerant Control Strategy for Single-phase Open Circuit Fault for Six-phase Doubly Salient Electromagnetic Machine 27

Fault-tolerant Control Strategy for Single-phase Open Circui...

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27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Zhou, Xingwei Chen, Shengming Liu, Peixing xu, shuwen Yang, Zefeng College of Electrical and Power Engineering Hohai University Nanjing China State Grid Jibei Electric Power Co. Ltd Tangshan Power Supply Company Jinan China

ISBN: (纸本)9784886864406

The traditional Six-phase Doubly Salient Electromagnetic Machine (DSEM) fault-tolerant control using proportional integral (PI) controller will result in significant torque fluctuations and high harmonic content. In order to solve this problem, this paper presents an improved fault-tolerant control strategy for single-phase open circuit faults based on proportional dual-resonant (PDR). Firstly, the control method for the normal operation of the six-phase DSEM is presented. when a single-phase open circuit fault occurs in a six-phase DSEM, this paper presents a fault-tolerant control strategy. In addition, an improved fault-tolerant control strategy based on PDR controllers is proposed on the basis of traditional fault-tolerant control strategy, which can track AC signals without static error and reduce the harmonic content compared to traditional PI controllers. Finally, the simulation and experimental results validate the correctness and feasibility of the proposed method. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Harmonic analysis

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Analysis of power system transient stability characteristics with the application of massive transient stability simulation data

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ENERGY REPORTS 2021年 7卷 111-117页

作者： Yang, Haocheng Niu, Kunkun xu, Dechao xu, shuwen Univ Elect Sci & Technol China Sch Mech & Elect Engn Sichuan Prov Key Lab Power Syst Wide Area Measure Chengdu 611731 Sichuan Peoples R China China Elect Power Res Inst State Key Lab Power Grid Safety & Energy Conserva Beijing 100192 Peoples R China

A large number of simulation results will be generated during the calculation of the power system digital simulation. Manual analysis of massive numerical results is inefficient and error-prone. Besides, some imperceptible operating rules of power system operating mode may be ignored. In order to solve these problems, a transient stability assessment method based on deep learning is proposed in this paper. By analyzing simulation data, the relationship between power grid stability characteristics and the set operation mode is constructed. According to these research results, the calculation and analysis of power system transient stability will be effectively supported. (C) 2021 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Power system Transient stability simulation Big data

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Disparity Distribution Equalization: An Effective Data Enhancement for Stereo Matching 6

Disparity Distribution Equalization: An Effective Data Enhan...

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6th International Conference on Pattern Analysis and Intelligent Systems, PAIS 2024

作者： Zheng, Jiaxuan Wu, Jiayu xu, shuwen Du, Sidan Li, Yang Nanjing University School of Electronic Science And Engineering Nanjing210046 China

ISBN: (纸本)9798350350265

With the continuous development of convolutional neural networks(CNN), stereo matching algorithms have made great achievements. However, existing studies mainly focus on network model structure, ignoring the dataset itself and related data augmentations. In this paper, we focus on the impact of the inhomogeneity of dataset disparity distribution in the field of binocular depth estimation. We performed quantitative analyses on multiple datasets and discovered that an imbalanced disparity distribution resulted in models failing to effectively cover low interval of disparity distribution. Based on this observation, we propose the method of disparity distribution equalization and provide two approaches for adjusting the disparity distribution: scaling transformation and random translation transformation. On this basis, we retrain some representative state-of-the-art algorithms(e.g., PSMNet, GA-Net, AANet). Experiments demonstrate that through the disparity distribution equalization, those algorithms can significantly improved on the test set without introducing additional parameters. © 2024 IEEE.

关键词： Convolutional neural networks

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Multi-Objective Coordinated Control of Permanent Magnet Direct-Drive Wind Power System Under Asymmetrical Grid Fault 27

Multi-Objective Coordinated Control of Permanent Magnet Dire...

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27th International Conference on Electrical Machines and Systems, ICEMS 2024

作者： Zhou, Xingwei xu, shuwen Chen, Shengming Yang, Zefeng Fang, Tianyu College of Electrical and Power Engineering Hohai University Nanjing China

ISBN: (纸本)9784886864406

Low voltage ride-through (LVRT) control strategies for traditional wind turbine system under asymmetrical fault conditions typically consider only a single control objective, failing to coordinate and optimize multiple performance metrics. This paper focuses on the multi-objective coordinated LVRT control strategy for permanent magnet direct-drive wind turbine systems under asymmetric grid fault. First, based on the instantaneous power model under asymmetrical fault conditions, the mechanisms of current imbalance, active and reactive power double-frequency oscillations, and the resulting DC bus voltage fluctuations are analyzed. A unified reference current expression is established by the regulation coefficient k;A multi-objective optimization function is constructed, and the optimal regulation coefficient k is obtained through the artificial fish swarm algorithm. Compared to traditional LVRT control strategies, the proposed method achieves coordinated control under asymmetric faults, improving LVRT performance. Finally, the effectiveness of the proposed control strategy is validated through simulation. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Wind turbines

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FINet: A Feature Interaction Network for SAR Ship Object-Level and Pixel-Level Detection

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2022年 60卷 1页

作者： Hu, Qi Hu, Shaohai Liu, Shuaiqi xu, shuwen Zhang, Yu-Dong Beijing Jiaotong Univ Inst Informat Sci Beijing 100044 Peoples R China Beijing Key Lab Adv Informat Sci & Network Technol Beijing 100044 Peoples R China Hebei Univ Coll Elect & Informat Engn Machine Vis Engn Res Ctr Hebei Prov Baoding 071002 Peoples R China Chinese Acad Sci Inst Automation Natl Lab Pattern Recognit NLPR Beijing 100190 Peoples R China Third Res Inst China Elect Technol Grp Corp Beijing 100015 Peoples R China Univ Leicester Sch Comp & Math Leicester LE1 7RH England

Deep learning-based detection methods have achieved great success in ship target detection in synthetic aperture radar (SAR) images. However, due to the interference of imaging mechanism, speckle noise, and sea and land clutter, ship detection in SAR images still suffers from difficult interpretation. It is found that most ship detection algorithms focus on object-level detection while ignoring pixel-level information. In order to further improve the recognition effectiveness and positioning accuracy of ships in SAR images, we present a novel ship detection method based on a feature interaction network (FINet) in SAR images from the perspective of object-level and pixel-level. FINet consists of an object-level detection network and a pixel-level detection network. The information of the two branches is fused through the feature interaction module (FIM), and then, the object-level information and pixel-level information are enhanced by the feature guidance module (FGM). Finally, FINet utilizes object-level and pixel-level detection heads for prediction and regression to obtain object-level classification accuracy, positioning bounding box coordinates, and pixel-level binary classification results. The experimental results demonstrate that the classification effectiveness and localization accuracy of FINet are better than those of the comparison algorithms, and FINet achieves the best performance.

关键词： Convolutional neural network (CNN) multitask learning ship detection synthetic aperture radar (SAR) image

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