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2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

作者： Li, Junfeng Kong, Xianglin Wang, Fengjun Miao, Zhuowei Wang, Xiaoyi Shen, Xiaopeng Zhang, Shengjun Zhao, Lei China University of Mining and Technology School of Information and Control Engineering Xuzhou China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematical Beijing China Polytechnique Montreal Department of Electrical Engineering MontrealQC Canada China University of Mining and Technology School of Materials Science and Physics Xuzhou China

ISBN: (纸本)9781665452366

This paper presents a dual-frequency coding metasurface (CM) for vortex beam generation. The metasurface unit cell is realized with two symmetric metal layers separated by a dielectric substrate. Each metal layer consists of an outer square ring, a middle square ring, and an inner rhombus patch. Two out-of-phase transmitting states in two bands are achieved by rotating the inner rhombus patch by 90 °. Two 1 = + 2 vortex beams are then realized in two different bands by properly distributing the two states on the metasurface aperture. A metasurface with 30 × 30 elements is designed, simulated, and experimentally demonstrated. The experimental results agree well with the simulating ones, showing that the metasurface achieves a high transforming efficiency in both Ku (13.6-14.8GHz) band and Ka (26.7-27.7 GHz) band. © 2022 IEEE.

关键词： Kurchatovium

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A Radar Signal Modulation Recognition Algorithm Based on Multi-branch Fusion Difference

A Radar Signal Modulation Recognition Algorithm Based on Mul...

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IEEE International Conference on Electronic Information and Communication technology (ICEICT)

作者： Sisi Jiang Jingpeng Gao Zhiye Jiang Fang Ye College of Information and Communication Engineering Harbin Engineering University Haibin China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing Institute of Space Long March Vehicle Beijing China National Key Laboratory of Underwater Acoustic Technology College of Information and Communication Engineering Harbin Engineering University Harbin China

The time-frequency images of radar modulation signals are similar at low signal-to-noise ratios, which will lead to lower recognition accuracy. This paper proposes an algorithm based on multi-branch fusion differences to identify radar modulation signals. The algorithm designs a multi-branch fusion differential module based on the attention mechanism and differential thinking, to extract time-frequency image fine-grained features and improve the Convolution Neural Network characterization ability. After that, a dual-branch differential network is proposed by combining vanilla convolution and multi-branch fusion difference module. The network can fuse global and detailed features of time-frequency images, which can achieve radar signal modulation recognition. The simulation results show that the recognition accuracy of the algorithm can reach 93.17% at 0dB. Therefore, the algorithm can obtain high recognition accuracy and has high recognition performance.

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Source-Configured Microwave Plasmonic Vortices Based on Single Meta-Particle

Source-Configured Microwave Plasmonic Vortices Based on Sing...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Xianglin Kong Lei Zhao Xiaopeng Shen Yinfang Xu School of Information and Control Engineering School of Materials Science and Physics China University Mining and Technology Xuzhou China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

In this paper, generation of plasmonic vortices with tunable topologic charges is proposed in the microwave regime. Tunable vortices with topologic charges of 0, +1 and -1 can be configured by illuminating incident plane waves with linearly polarization (LP), left-circularly polarization (LHCP) and right-circularly polarization (RHCP) on a single meta-particle, respectively. A spiral meta-particle operating at 2.94 GHz is designed, fabricated and measured to demonstrate the source-configured characteristics. The results showed that simulation and test are consistent with the theoretical ones.

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Sixteen-micromachined-gyroscopes Array Beyond Accuracy Limit By 1.9 Times Without Bandwidth Reduction

Sixteen-micromachined-gyroscopes Array Beyond Accuracy Limit...

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IEEE SENSORS

作者： Jiayu Li Honglong Chang Junzhe Yun Jiyao Liu Wenjie Lv Yan Wang Jie Zhang Bin Han Qiang Shen MOE Key Laboratory of Micro and Nano Systems for Aerospace Northwestern Polytechnical University Xi'an China China Flight Test Establishment Xi'an China 3Xi'an Modern Control Technology Research Institute Xi'an China

ISBN: (数字)9798350363517

ISBN: (纸本)9798350363524

How to break through theoretical accuracy limit of $\sqrt{N}$ times based on micromachined-gyroscopes array without bandwidth reduction is currently important challenge. To solve above challenge, a novel expectation cluster interval fusion method based on non-Kalman filter theory is for the first time proposed by dynamically adjusting weighted coefficients of the array samples with high-dispersion characteristics to cluster these samples into special refined interval, which is initially formed based on minimum variance theory representing accuracy limit of the array fusion method. The experimental results show that the accuracy of array-based microgyroscope reaches $0.57\times 10^{-20}/\mathrm{s}$ in this work, which is improved by 1.9 times compared with theoretical accuracy limit value of sixteen-micromachined-gyroscope array of $1.06\times 10^{-20}/\mathrm{s}$ . Further, amplitude of angular rate has no reduction when the bandwidth reaches 50Hz. This work paves a solid path to apply the array-based gyroscope in actual engineering.

关键词： Accuracy Fitting Bandwidth Solids Filtering theory Gyroscopes Sensors Maintenance

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Doffnet: A Distant Objects Rgb-T Semantic Segmentation Method Based on Cross-Level Interaction Fusion Network

SSRN

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SSRN 2024年

作者： Chen, Yu Li, Xiang Luan, Chao Hou, Weimin Liu, Haochen Xue, Lian Zhu, Zihui Zhang, Jianqi Liu, Delian Wu, Xin Wei, Linfang Jian, Chaochao Li, Jinze Academy of Military Sciences School of Physics and Optoelectronic Engineering Xidian University Xi’an710071 China Beijing Institute of Control & Electronics Technology Beijing100038 China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing100076 China

RGB-T segmentation represents an innovative approach driven by advancements in multi-spectral detection, poised to replace traditional RGB segmentation methods. An effective cross-modality feature fusion module is essential for this technology;simultaneously, the precise segmentation of distant objects is likewise a significant challenge. Building on these two focuses, we propose an end-to-end distant object feature fusion network (DOFFNet) for RGB-T segmentation. Initially, we introduce a cross-level interaction fusion strategy (CLIF) and an inter-correlation fusion method (IFFM) in the encoder to enhance multi-scale feature expression and improve fusion accuracy. Subsequently, we propose a residual-dense pixel convolution (R-DPC) in the decoder with a trainable upsampling unit, which dynamically reconstructs information lost during encoding, particularly for distant objects whose features may vanish after pooling. Experimental results demonstrate that DOFFNet improves accuracy across five classes and effectively segments distant objects occupying 0.2-2% of total pixels, enhancing overall segmentation quality and detailed understanding of RGB-T scenes. © 2024, The Authors. All rights reserved.

关键词： Semantic Segmentation

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RGB-D Co-attention Network for Semantic Segmentation 15th

RGB-D Co-attention Network for Semantic Segmentation

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15th Asian Conference on Computer Vision, ACCV 2020

作者： Zhou, Hao Qi, Lu Wan, Zhaoliang Huang, Hai Yang, Xu National Key Laboratory of Science and Technology of Underwater Vehicle Harbin Engineering University Harbin China The Chinese University of Hong Kong Hong Kong China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9783030695248

Incorporating the depth (D) information for RGB images has proven the effectiveness and robustness in semantic segmentation. However, the fusion between them is still a challenge due to their meaning discrepancy, in which RGB represents the color but D depth information. In this paper, we propose a co-attention Network (CANet) to capture the fine-grained interplay between RGB’ and D’ features. The key part in our CANet is co-attention fusion part. It includes three modules. At first, the position and channel co-attention fusion modules adaptively fuse color and depth features in spatial and channel dimension. Finally, a final fusion module integrates the outputs of the two co-attention fusion modules for forming a more representative feature. Our extensive experiments validate the effectiveness of CANet in fusing RGB and D features, achieving the state-of-the-art performance on two challenging RGB-D semantic segmentation datasets, i.e., NYUDv2, SUN-RGBD. © 2021, Springer Nature Switzerland AG.

关键词： Semantic Segmentation

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Design of marine environmental noise signal generation system based on MATLAB, LabVIEW and FPGA 2

Design of marine environmental noise signal generation syste...

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2nd International Conference on Mechanical, Electric and Industrial Engineering, MEIE 2019

作者： Gao, Feng Meng, Chunxia Key Laboratory for Underwater Test and Control Technology Dalian116013 China

Marine environmental noise is a background interference field produced by various underwater sound sources. The characteristics of marine environment vary with time, place and frequency. In order to simulate the marine environmental noise signals with different time-frequency characteristics, a real-time generating system of marine environmental noise signals is designed based on MATLAB, LabVIEW and FPGA. According to the probability distribution of the measured frequency characteristics of marine environmental noise, the random signals with specific frequency response are calculated and generated in real time and continuously. The pool test results show that the signal generation system has the characteristics of stable real-time calculation and signal generation. Based on the marine environmental noise signal generation system designed in this paper, time-domain waveforms with specific spectrum characteristics are generated, which will provide technical support for the research of random signal processing algorithm under laboratory conditions and the performance analysis of underwater acoustic equipment under different marine background conditions. © 2019 IOP Publishing Ltd.

关键词： Field programmable gate arrays (FPGA)

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ADRC with built-in RLC control scheme for uncertain systems with periodic reference input

ADRC with built-in RLC control scheme for uncertain systems ...

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Data Driven control and Learning Systems (DDCLS)

作者： Xiangyang Li Jian Huang Senping Tian Wei Ai Key Laboratory of Autonomous Systems and Network Control Ministry of Education School of Automation Science and Engineering South China University of Technology Guangzhou China Kunming Shipborne Equipment Research and Test Center Kunming China

Active disturbance rejection control (ADRC) method has shown strong capabilities to handle system uncertainties. As for dealing with the periodic reference input signal, the repetitive learning control (RLC) method is often applied in practice to improve the system performance. In this paper, a distinct framework is proposed for the design and implementation of integrating the advantages of RLC and ADRC for uncertain systems with periodic reference input. An extra control input produced by built-in RLC scheme is added to the state error feedback (SEF) part of ADRC system. The stability of ADRC with built-in RLC scheme is proved. Simulations show that the proposed method is effective and can achieve better performance than the classic ADRC.

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Optimal design of emission waveform for acoustic scattering test under multipath interference

Optimal design of emission waveform for acoustic scattering ...

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作者： Jianglin WU Yunfei CHEN Bing JIA Guijuan LI Yang ZHANG Jintao YONG Science and Technology on Underwater Test and Control Laboratory

In order to reduce the impact of multi-path interference in the underwater target sound scattering test, the design of different forms of waveform such as CW-LFM+,CWLFM-,CW-HFM+ and CW-HFM-are mainly studied in this paper, the bellhop model is used to simulate the shallow sea multi-path propagation environment, and the one-way attenuation and two-way impulse response of the shallow sea multi-path channel are calculated. Based on this, the scattered signal of the point target after the combined signal passes through the shallow sea two-way channel is calculated, and according to the time-domain waveform and time-frequency diagram of the scattered signal of the simulated point target, the validity of model selection and parameter setting is verified. The ambiguity graph and contour line of the analog signal and the measured signal are calculated, so the transmission waveform with better time-frequency resolution can be selected, which provides support for the detection of the sound scattering signal of complex targets under multipath interference.

关键词： Waveform design shallow sea multipath combined signal ambiguity

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Echo Highlight Model of underwater Target and Design of FPGA Signal Simulation Module

Echo Highlight Model of Underwater Target and Design of FPGA...

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作者： Hu Chen Zhang Fengzhen Zhang Zhaohui Peng Yuan Jiang Yi Science and Technology on Underwater Test and Control Laboratory

The rapid development of FPGA provides a new platform for target signal simulation. In this paper, we first analyze the mathematical model of underwater target echo highlights, and then design a set of signal generating module based on FPGA, which can simulate the target echo signal under specific target characteristics according to the preset highlight table and copy signal. With 5° as the unit, the angle of incidence is switched between 0°-180 ° by using the mechanical keys. The angle can be displayed in real time through the digital tube. The output signal can be directly connected to the transducer and power amplifier to achieve a specific sound source level. Finally, the signal acquisition test of the simulation module is carried out. 37 angles in the range of 0°-180° were collected and analyzed. The distribution of echo highlights was compared with the table of highlights after matched filter. The module's performance meets the expectation.

关键词： echo FPGA highlight model signal simulation

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