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1-bit Coding Metasurface for Wideband RCS Reduction

1-bit Coding Metasurface for Wideband RCS Reduction

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

作者： Xu, Yinfang Liu, Jiaqi Gao, Lu Ai, Xia Zhang, Zhongjie Liang, Huan Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (纸本)9781665452366

This paper achieve efficient RCS reduction over a wide frequency range by exploiting the reflection properties of the coding metasurface. The metasurface consists of '0' cells and '1' cells, and the reflection phase difference is close to 180° over a wide frequency range. By designing the spatial random coding arrangement of '0' units and '1' units, the electromagnetic waves incident on the metasurface form diffuse reflection, so as to achieve the purpose of broadband RCS reduction. The simulation results show that when the incident wave is irradiated vertically, the metasurface can basically achieve a RCS reduction of more than 10dB in a wide frequency band of 10-20.5GHz compared to a metal plate of the same size. In the case of oblique incidence, the RCS reduction still has a good effect, which is basically the same as the curve at normal incidence, and has the characteristics of wide-angle incidence RCS reduction. The reduced bandwidth of the broadband RCS of the coding metasurface is basically consistent with the 10 dB polarization bandwidth of the cell structure. The design of the metasurface is simple and efficient, so it has great application potential in stealth new technologies and new materials. © 2022 IEEE.

关键词： Plate metal

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Frequency hopping signal parameter estimation algorithm based on time-frequency point correlation 10

Frequency hopping signal parameter estimation algorithm base...

引用

10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Jiang, Zhiye Wang, Shangyue Chen, Yang Wang, Peng Gao, Lu Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

Aiming at the low accuracy of frequency hopping signal parameter estimation under the influence of complex noise and interference, a frequency-hopping signal parameter estimation algorithm based on time-frequency point correlation is proposed. First, we design the kernel function to obtain the time-frequency distribution of the frequency-hopping signal. Then, we use the correlation of the time-frequency points to establish the target transfer relationship model. Besides, the feature quantity combines density screening is used for hierarchical clustering, and ridge queuing methods filter out the interference ridge label. Finally, we perform parameter estimation on the frequency hopping ridge. The simulation results show that the parameter error estimated by the proposed algorithm continues to decrease with the improvement of the signal-to-noise ratio. In the case of -6dB, the error of each parameter is as low as about 0.1. This algorithm can completely extract the frequency hopping ridge under the condition of a low signal-to-noise ratio, achieve an excellent parameter estimation effect, and provide a reference for communication signal parameter estimation. © 2022 IEEE.

关键词： Frequency hopping

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Study on 2D Plasma Photonic Crystals with Defect Modes Using FDTD Method

Study on 2D Plasma Photonic Crystals with Defect Modes Using...

引用

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

作者： Song, Hang Zhang, Yuning Liu, Jiaqi Ai, Lihong Zhang, Shengiun National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics Beijing China Captial Aerospace Machinery Coporation Limited Beijing China

ISBN: (纸本)9781665452366

In this paper, a typical uniform unmagnetized two-dimensional plasma photonic crystal with a single linear defect mode is simulated based on the finite difference time domain method, and the effects of defect mode position and size on its photonic band gaps characteristics are explored respectively. the research can provide an idea for tuning the electromagnetic properties of two-dimensional plasma photonic crystals. © 2022 IEEE.

关键词： Finite difference time domain method

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A New One-Dimensional Photonic Crystals for Infrared Emission Modulation

A New One-Dimensional Photonic Crystals for Infrared Emissio...

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

作者： Zhang, Yuning Zhang, Shengjun Song, Hang Cui, Yichun Liu, Jiaqi Ai, Lihong National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics Beijing China Capital Aerospace Machinery Corporation Limited Beijing China

ISBN: (纸本)9781665452366

With the wide application of infrared detection in the military field, the problem of how to reduce the probability of military targets being detected and identified has become urgent. In this paper, one-dimensional photonic crystals with wide incidence angle range are analyzed and simulated. The reflectance and transmittance properties of different structures are discussed with application in modulation of infrared emission. © 2022 IEEE.

关键词： Photonic crystals

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SPECTRAL-SPATIAL ATTENTION FUSION TRANSFORMER FOR HYPERSPECTRAL IMAGE CLASSIFICATION

SPECTRAL-SPATIAL ATTENTION FUSION TRANSFORMER FOR HYPERSPECT...

引用

IET International Radar Conference 2023, IRC 2023

作者： Ji, Xiangyu Gao, Jingpeng Chen, Geng Gao, Lu College of Information and Communication Engineering Harbin Engineering University Harbin China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing Institute of Space Long March Vehicle Beijing China

ISBN: (纸本)9781839539954

In view of the limited generalization and poor local feature information modeling ability of vision transformer model(ViT) in hyperspectral image classification, a Spectral-Spatial Attention Fusion Transformer (SAFT) method for hyperspectral image classification is proposed in this paper. The proposed method includes two key modules: Spectral-Spatial Feature Extraction Module (SSFE) and Multi-Head Attention Fusion Transformer Module (MAFT). The SSFE module is a lightweight network. It contains a 3D convolution block and a 2D convolution block, which can efficiently obtain local feature information. Based on the proposed attention fusion structure, the MAFT module designs an improved transformer encoder. It improves the generalization ability of the model on the premise of obtaining global information. In this paper, two datasets of HyRANK are used for experiments. The experimental results show that this method is superior to other HSI classification methods. © The Institution of Engineering & technology 2023.

关键词： Convolutional neural networks

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Analysis of infrared radiation properties of SiC particles with different microstructures

Analysis of infrared radiation properties of SiC particles w...

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

作者： Li, Yanan Wang, Qun Dong, Shikui Cui, Yichun Gao, Lu Ai, Xia Beijing University of Technology Beijing China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China Harbin Institute of Technology Harbin China

ISBN: (纸本)9781665452366

In order to control the infrared radiation properties by adjusting the micro morphology of SiC particles, we analyze the radiation characteristics of solid and hollow SiC particles with different scales. The results show that the particle size has a great influence on the radiation characteristics of SiC spherical solid particles, and the particle thickness directly affects the amplitude changes of extinction and scattering absorption peaks of SiC spherical hollow particles with small scale (d=100nm). © 2022 IEEE.

关键词： Particle size

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Influence of clusters on radiation properties of Si3N4particles

Influence of clusters on radiation properties of Si3N4partic...

引用

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

ISBN: (纸本)9781665452366

We analyze the radiation characteristics of Si3N4 elementary particles based on Mie theory, and Si3N4 cluster particles by GMM theory. The results show that the larger the Si3N4 cluster particles, the larger the extinction factor and scattering factor, which variation trend is similar to that of the elementary particles with the same scale, and the position of the scattering peak is also similar to that of the elementary particles. The influence of cluster particles on the amplitude of absorption factor is relatively small, but some absorption characteristic peaks disappear, which is very different from the elementary particles with the same scale. © 2022 IEEE.

关键词： Silicon compounds

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Piecewise Linear Recursive Convolution Method Applied in One-dimensional Unmagnetized Plasma

Piecewise Linear Recursive Convolution Method Applied in One...

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

作者： Liu, Jiaqi Meng, Gang Mu, Lei Gao, Lu Mo, Jinjun Wu, Runhui Wang, Weidong National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China Guilin University of Electronic Technology School of Information and Communication Guilin China

ISBN: (纸本)9781665452366

The piecewise linear recursive convolution(PLRC) method based on finite difference time domain(FDTD) is used to calculate the reflection and transmission characteristics of electromagnetic waves from one-dimensional unmagnetized plasma. The results are shown that this method has obvious advantages in accurately calculating the electromagnetic problems of one-dimensional, small-scale and thin-layer dielectric materials. © 2022 IEEE.

关键词： Electromagnetic waves

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A Radiation Pattern-Reconfigurable Patch Antenna with Tunable CSRR based on Liquid Metal and 3-D Printed Microfluidics

A Radiation Pattern-Reconfigurable Patch Antenna with Tunabl...

引用

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

作者： Wang, Yumeng Gao, Lu Zheng, Pei Song, Lingnan School of Electronic and Information Engineering Beihang University Beijing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

ISBN: (纸本)9781665452366

In this article, a radiation patternreconfigurable patch antenna with tunable complementary split-ring resonators (CSRR) based on liquid metal (LM) and 3-D printed microfluidics is presented. The antenna is composed of three layers, a top coaxial fed rectangular patch, a middle ground plane with two CSRRs etched symmetrically, and two bottom microfluidics channels each adhered underneath the corresponding CSRR. Pattern reconfiguration is achieved by filling the microfluidic channels with the liquid metal plugs to change the physical parameters of the CSRR structure. By adjusting the length of the slot stubs in CSRRs, the main beam of the double CSRR-loaded antenna can be continuously scanned from -46° to 46° in elevation plane. © 2022 IEEE.

关键词： Slot antennas

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Ballistic Target Micro-motion Parameters Identification with CNN Denoiser Based on Deep Learning

Ballistic Target Micro-motion Parameters Identification with...

引用

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

作者： Lai, Ruixin Ai, Xia Wang, Shaoran Li, Mengmeng Liu, Jiaqi Ding, Dazhi Nanjing University of Science and Technology School of Electronics and Optical Engineering Nanjing China National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing100076 China

ISBN: (纸本)9781665452366

This paper proposes a method to identify micromotion parameters of radar echo with noise based on deep learning. The radar echo database is constructed from the point scattering model and the micro-Doppler spectrogram dataset is obtained then. The convolutional neural network is constructed to denoise radar echo with three kind of noises with different SNR, and target micro-motion parameters are identified. © 2022 IEEE.

关键词： Deep learning

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