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检索条件"机构=National Key Laboratory of Science and Technology on Test Physics&Numerical Mathematics"

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Semantic Segmentation Algorithm of Street View Image Via Deep Learning

Semantic Segmentation Algorithm of Street View Image Via Dee...

引用

International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Zihui Zhu Wenlin Cai Jianhua Li Feng Xue Lu Gao Jiaqi Liu National Key Laboratory Science and Technology on Test Physics and Numerical Mathematics Beijing China

Real-time semantic segmentation of street view images can be used as a visual aid system during autonomous driving. This paper proposes a multi-branch cross-layer fusion network (MCFNet). The model uses a multi-branch network to extract features, fuses the features of different stages of multiple branches for prediction, and uses a lightweight depthwise separable convolution to reduce the amount of computation. We use the Cityscapes dataset to train and evaluate the algorithm and get 61.6% mIoU and 115.3 fps.

关键词： Cross layer design Visualization Convolution Semantic segmentation Roads Semantics Feature extraction

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An Experimental Study on the Object Shielding Performance of Discrete Metal Wire Array

An Experimental Study on the Object Shielding Performance of...

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2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Wang, Weidong Liu, Xin Wang, Mingliang Liu, Jiaqi Meng, Gang Gao, Zhiyong Mu, Lei Ai, Xia Zhang, Shengjun Li, Jianbing Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics Numerical Mathematical Beijing China College of Electronic Science National University of Defense Technology Changsha China

ISBN: (纸本)9781538612415

In this paper, a method of shielding the object behind a discrete metal wire array is proposed and verified by anechoic chamber experiments. Results show that if the metal wire array is dense enough (cell size is smaller than half of the wavelength), the object behind it can be effectually shielded by the discrete metal wire array. The principle can be applied to electromagnetic camouflage and protection. © 2018 IEEE.

关键词： Electromagnetic shielding

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Simulation and analysis of repeater deceptive jamming to SAR based on shift-frequency

Simulation and analysis of repeater deceptive jamming to SAR...

引用

International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Daixuan Li Jiaqi Liu Jianhua Li Lu Gao Pei Zheng Zhonghang He National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

With the change of battlefield form, the pressure jamming requires the jammer to have large power, and the jamming efficiency is low, so the spoofing jamming comes into being. In this paper, the linear frequency modulation signal and fuzzy function are analyzed to verify the feasibility of using frequency shift forwarding to generate virtual images, and the two-dimensional frequency shift method is used to generate virtual images at specific locations to deceive local radar.

关键词： Analytical models Chirp modulation Frequency modulation Computational modeling Radar imaging Apertures Repeaters

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The propagation characteristic of the QPSK signals in reentry plasmas 67

The propagation characteristic of the QPSK signals in reentr...

引用

67th International Astronautical Congress, IAC 2016

作者： Wu, Runhui Liu, Jiaqi Liu, Xin Ren, Aimin Zhang, Shengjun Meng, Gang National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematical China Academy of Launch Vehicle Technology No 1 Nan Da Hong Men Road Beijing China

A spacecraft entering the Earth's atmosphere is enveloped by a plasma layer or sheath due to shock heating of the surrounding air and ablation of the heat shield material, and the plasma sheath may strongly effect the communication between the vehicles and receiver systems. In order to obtain the influence of communication system which is produced by reentry plasmas, a mechanism of QPSK signals through reentry plasmas which surround vehicles travelling at hypersonic velocities is proposed in this paper, and the simulation model of the QPSK signals propagation in plasma sheath is described. Then the energy attenuation and phase variable of QPSK signals which are transmitted by reentry plasmas are computed. The analysis results are shown that the QPSK signals would be shielded thoroughly if the plasma frequency is bigger than carrier frequency, and when the QPSK signals can propagate in reentry plasmas, the bit error probability (BEP) of communication systems would be improved by reentry plasmas which are ability to absorb the signals energy and vary signals phase. The simulation and analysis technique can also be used to calculate many other communication models such as FSK and ASK. Copyright © 2016 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Bit error rate

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Intelligent Counter Guidance Regulated by Deep Reinforced Learning

Intelligent Counter Guidance Regulated by Deep Reinforced Le...

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IEEE Metrology for Aerospace

作者： Runle Du Jiaqi Liu Li Zhang Jianhua Li National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

ISBN: (数字)9781728166360

ISBN: (纸本)9781728166377

In the game of pursuit and evasion in outer space, it is of utmost importance for the evader to make appropriate maneuver to survive this challenge. In previous publications, the common approach of guidance behavior recognition and counteracting evasion approach is based on model matching or multi-model matching. In that genre, due to the limitation of approximation from model matching and imperfection of state information, it is very difficult for the evader to take optimal maneuver when the pursuer uses unknown tracking algorithms. To solve this problem, in this article, deep neural network and reinforced learning are applied in counteractive maneuver. In the proposed approach, two networks are applied. Guidance recognition network is a pre-trained deep network able to estimate guidance behavior of pursuer vehicle, and the maneuver control network is trained by deep reinforced learning to perform counteract evading maneuver control. Exploring the policy space with Monte Carlo method, the maneuver controller deep neural network evolved to make optimal control acceleration and succeed in the evasion. Digital simulations confirmed that in the game of pursuit and evasion, deep reinforced learning with Monte Carlo method has the ability to guide the evader during the interception with improved chance of survival.

关键词： Neural networks Training Acceleration Monte Carlo methods Kinematics Games Space exploration

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A recursive predictive risk estimate for proximal algorithms

A recursive predictive risk estimate for proximal algorithms

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Feng Xue Runle Du Jiaqi Liu National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

ISBN: (纸本)9781479999897

For accurate signal reconstruction, proximal gradient methods generally require proper selection of regularization parameter. In this paper, we develop two data-driven optimization schemes, based on minimization of unbiased predictive risk estimate (UPRE). First, we propose a recursive UPRE to estimate the prediction error during the proximal iterations, which can be used to optimize the regularization parameter. Second, for fast optimization, we parametrize each proximal iterate as a linear combination of few elementary functions (LET), and solve the linear weights by minimizing recursive UPRE. We further exemplify the proposed approaches with the basic iterative shrinkage/thresholding (IST) algorithms for ℓ 1 -minimization. numerical experiments show that iterating this process leads to higher reconstruction accuracy with remarkably faster computational speed than standard IST.

关键词： Jacobian matrices Prediction algorithms Convergence Gradient methods Signal processing algorithms Standards

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Ultra-wideband Magnetoelectric Dipole for 3G/LTE/Sub-6GHz 5G Applications

Ultra-wideband Magnetoelectric Dipole for 3G/LTE/Sub-6GHz 5G...

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio science Meeting, AP-S/URSI 2022

作者： Liu, Ganyu Zhu, Hailiang Wang, Kai Qiu, Yuwei Mou, Jinchao Zheng, Pei Wei, Gao Northwestern Polytechnical University Shaanxi Xi'an710129 China The Beijing Research Institute of Telemetry Beijing100094 China The National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing100076 China

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

A new ultra-wideband magnetoelectric (ME) dipole antenna is proposed as a dual-polarized base station antenna for 3G, LTE and Sub-6GHz 5G wireless networks. Double layers of ME dipoles with different sizes are combined to expand the bandwidth, and the orthogonal placement of ME dipoles enables dual polarization radiation. Simulation results reveal that the proposed base station antenna achieves 133.3% fractional bandwidth and satisfying radiation characteristics, including high front-to-back ratio (FBR) (>14 dB), high cross-polarization levels (>20 dB), and stable gains about 5-10 dBi in 1-5GHz. © 2022 IEEE.

关键词： Polarization

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A Novel Tunable FSS of miniaturized unit cell for lower frequency

A Novel Tunable FSS of miniaturized unit cell for lower freq...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Yichun Cui Shengjun Zhang Mingliang Wang Jiaqi Liu Xin Liu Yue Wang National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

Large working bandwidth is now an attractive topic for FSS design, while it's hard to acquire a FSS structure with very wide bandwidth. So the way to actively tune the response frequency of the FSS, thus giving dynamic wide bandwidth maybe an available solution to this problem. In this paper, a two-layer structure loaded with variable capacitor was proposed to adjust resonance frequency. The upper layer employs strip lines and the lower layer joins capacitors between the cross rings to tune the frequency response curves of the whole structure quantitatively. This active frequency selective surface (AFSS) is sensitive to the change of loaded capacitance in some range while stay invariably above that, in which element can be regarded as being connected. Simulation results indicates that the rationality of analysis, which provides a general method to adjust resonance frequency and guides the active design of corresponding passive FSS in return.

关键词： Frequency selective surfaces Resonant frequency Capacitance Capacitors Equivalent circuits Integrated circuit modeling Bandwidth

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Individual Identification Algorithm of Known Emitters Based on Lightweight Binary Channels Neural Network 12

Individual Identification Algorithm of Known Emitters Based ...

引用

12th International Conference on Information technology in Medicine and Education, ITME 2022

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

ISBN: (纸本)9798350310153

Aiming at the problem that the traditional specific emitter identification method has poor feature extraction ability and limited recognition effect, this paper proposes a known specific emitter identification algorithm based on the LBCNet (the Lightweight Binary Channels Net). The algorithm uses bispectrum and cyclic spectrum to highlight the unintentional information in the pulse. Then, it combines the idea of depthwise separable convolution to design the LBCNet to realize adaptive feature extraction, fusion, and classification. Finally, it integrates the attention mechanism to highlight the effective information of the image, enhance the neural network's learning ability and improve the identification performance of specific emitters. The simulation results show that the recognition rate of the proposed algorithm is as high as 94.53% at 0dB, which has good engineering practical value and can be applied to the field of electronic reconnaissance. © 2022 IEEE.

关键词： Convolution

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Modulation recognition of emitter signals based on SDAE-ODCNN 5

Modulation recognition of emitter signals based on SDAE-ODCN...

引用

IET International Radar Conference 2020, IET IRC 2020

作者： Wang, Xu Gao, Jingpeng Gao, Lu Wang, Fu 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)9781839535635

In order to improve the recognition rate of emitter signals modulation under low signal noise ratio (SNR), an end-to-end method based on the stacked denoising autoencoder (SDAE) - one dimensional convolutional neural network (ODCNN) is proposed in this paper. The SADE-ODCNN is designed in this method and trained through a two-step training. In the SDAE-ODCNN model, the encoder of the SDAE can extract the denoised and compressed features of the received emitter signals. Then the ODCNN can further extract features to realize the recognition. The simulation results show that the average recognition rate of the method can reach 0.94 under 0dB. Thus the proposed method has a good application in the field of emitter signals modulation recognition. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Modulation

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