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

作者： Wang, Yingfei Xue, Xiaoqin Wang, Wei Xi'an Polytechnic University Department of Computer Science Xi'an 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)9781665452366

An efficient radar signal processing parallel algorithm for Open Computing Language (OpenCL) is presented in this paper, which reveals a rational allocation schema of tasks between the central processing unit (CPU) and the graphics processing unit (GPU). The powerful parallel processing ability of GPU is used to replace the traditional serial processing method by the way of pipeline acceleration and algorithm parallel acceleration, and the real-time performance of the proposed algorithm is improved by the design idea of intra-module parallelism and inter-module flow processing. The algorithm is applied to CPU-GPU heterogeneous computing platform and has a good portability. The effectiveness and real-time performance of the algorithm are verified through simulation data. © 2022 IEEE.

关键词： Graphics processing unit

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Dual-Frequency Vortex Beam Generation Using Coding Metasurface

Dual-Frequency Vortex Beam Generation Using Coding Metasurfa...

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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 MULTI-AGENT JAMMING DECISION-MAKING METHOD BASED ON SP-HASAC

A MULTI-AGENT JAMMING DECISION-MAKING METHOD BASED ON SP-HAS...

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IET International Radar Conference 2023, IRC 2023

作者： Gao, Jingpeng Shen, Chen Gao, Lu Jiang, Zhiye College of Information and Communication Engineering Harbin Engineering University Harbin China Beijing Institute of Electronic System Engineering Beijing 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 the study of the multi-UAV penetration mission decision method, the Heterogeneous Agent Soft Actor-Critic algorithm uses the HAML framework and the maximum entropy principle to enable UAVs to have stronger anti-jamming capability and exploration capability. However, it is difficult to accurately evaluate the action value of UAVs and the training stability is poor. To address this issue, this paper proposes a multi-agent based on the state prediction-HASAC(SP-HASAC) jamming decision method. Based on the idea of advantage function decomposition and environmental dynamics model, the state prediction network is designed to extract more abundant spatial information of penetration battlefield and achieve accurate evaluation of the action value of multi-UAV. Combining with the negative domain activation theory, the ReLU function is improved to realize the stable training of multi-UAV. The simulation results show that in the electronic penetration scenario of three UAVs against a single radar, the training convergence time of the proposed improved algorithm is reduced by 22% compared with the original algorithm. Three UAVs penetration to twice the burn-through distance still has more than 70% penetration success rate. © The Institution of Engineering & technology 2023.

关键词： Jamming

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Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays Based on Multiagent Genetic Algorithm

Low-Sidelobe Pattern Synthesis for Sparse Conformal Arrays B...

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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 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

In this paper, multiagent genetic algorithm (MAGA) is firstly applied to tackle the synthesis of conformal sparse array, a constrained multi-objective optimization problem. Moreover, a model considered low peak sidelobe level (PSLL) is given for conformal sparse array synthesis. For the antenna array deployed on a quadric surface, the PSLL can be reduced by obtaining the optimal antenna element arrangement. An example of 256-element array synthesis with a 56% sparse rate proves MAGA as an effective optimization tool for conformal sparse arrays in low computational cost. © 2022 IEEE.

关键词： Genetic algorithms

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A Jamming Decision-Making Method Based on Next State Prediction SAC 6

A Jamming Decision-Making Method Based on Next State Predict...

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6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Chen, Geng Gao, Jingpeng Zhang, Tianran Jiang, Zhiye Shen, Chen College of Information and Communication Engineering Harbin Engineering University Harbin China Beijing Institute of Electronic System Engineering Beijing100854 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)9798350399059

In light of the growing complexity of the electromagnetic environment, traditional jamming decision-making methods have become less effective due to poor generalization and inefficient jamming performance. This paper proposes a jamming decision-making method based on next state prediction SAC (Soft Actor-Critic) to address this issue. Firstly, we design the state, action, and reward elements under electronic warfare scenarios. Secondly, a next state prediction critic network is proposed to accurately estimate the value function by modeling the environment dynamics and extracting richer representational information. Finally, a negative activation ReLU is introduced to improve the utilization ratio of network parameters. Simulation results show that the proposed method achieves a 98.4% success rate at a distance of 90 km from the radar and a 70.0% success rate at 30 km. Therefore, this method exhibits good adaptability and jamming performance in the field of jamming decision-making. © 2023 IEEE.

关键词： Decision making

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The Changes in Heating and Cooling Energy Demand in Beijing and Shanghai under Global Warming

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Journal of Applied Meteorology and Climatology 2025年第5期64卷 413-424页

作者： Xu, Yan Si, Dong Cao, Lei Yu, Yu Wu, Xueyuan Chen, Sining National Meteorological Information Centre China Meteorological Administration Beijing China National Key Laboratory of Earth System Numerical Modeling and Application Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters Nanjing University of Information Science and Technology Nanjing China Chinese Academy of Meteorological Sciences China Meteorological Administration Beijing China

Climate change significantly influences electricity and energy demand, yet a comprehensive understanding of heating and cooling energy demand in China’s major cities under the impact of global warming remains incomplete. This study utilized monthly electricity consumption and mean air temperature data to accurately determine the base temperatures for Beijing and Shanghai, identified as 18.948 and 19.548C, respectively. We further established the heating degree-day (HDD) and cooling degree-day (CDD) indices for both cities over the period from 1961 to 2020. The results indicate a declining trend in winter heating demand and an increasing trend in summer cooling energy demand in both Beijing and Shanghai from 1961 to 2020. Notably, the decrease in winter heating demand exceeds the increase in summer cooling demand for each city. The findings indicate a higher sensitivity of electricity demand to temperature in Beijing during summer (13.5519 TWh 8C21) compared to winter (21.5706 TWh 8C21). Similarly, in Shanghai, temperature sensitivity is higher in summer (15.1133 TWh 8C21) than in winter (21.7133 TWh 8C21). This high sensitivity during the summer months implies an overall increase in future energy demand. While Beijing demonstrates a higher demand for winter heating compared to Shanghai, its demand for summer cooling is comparatively lower. Nevertheless, due to Shanghai’s greater sensitivity of electricity demand to temperature compared to Beijing, it is projected that Shanghai’s total energy demand will exceed that of Beijing in the future. © 2025 American Meteorological Society.

关键词： Electric power utilization

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Ellipse Fitting Based on Neural Network Optimization 41

Ellipse Fitting Based on Neural Network Optimization

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第41届中国控制会议

作者： Chenrong Long Peng Liu Qinglei Hu School of Automation Science and Electrical Engineering Beihang University National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing Institute of Space Long March Vehicle School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China.

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Ellipse fitting is to estimate the parameters of the ellipse from a set of coplanar points,but the geometric distance from the plane point to the elliptic curve is difficult to calculate *** paper proposes a neural network optimization-based algorithm to estimate the geometric distances from plane points to elliptic curves to solve the ellipse fitting ***,the neural network is firstly applied to train the geometric distance between the plane point and the standard ellipse,and then obtain the geometric distance between the plane point and the general ellipse through the rotation and translation ***,use minimizing the sum of the Euclidean distances from the plane point to the elliptic curve as the objective function,and finally use the gradient descent method to iteratively solve the ellipse ***,the proposed method avoids the direct algebraic solution of the geometric distance from the plane point to the elliptic curve and the performance of the algorithm to gether with its robustness to noise are analysed via numerical simulation.

关键词： Ellipse Fitting Coplanar Points Geometric Distance Neural Network Optimization

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An Absorptive/Transmissive Frequency Selective Surface with Wide Transmission Band and Low Insertion Loss

An Absorptive/Transmissive Frequency Selective Surface with ...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Hang Song Jiaqi Liu Shengjun Zhang National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics Beijing China

The Absorptive/transmissive Frequency Selective Surface (ATFSS) is a multi-layer composite periodic structure with out-of-band absorption and in-band transmission characteristics, usually composed of a lossy resistive sheet (RS) and a lossless bandpass FSS. In this paper, an equivalent circuit method based on transmission line theory was used to design the ATFSS with idea of higher frequencies for transmission and lower frequencies for absorption, as well as the impedance conditions for satisfying wave transmission and absorption. Furthermore, the S-parameters was fitted, which verifies the design concept. Finally, the simulation was performed with numerical method. It is shown from the simulation that the broadband absorption of the ATFSS ranges from 2.00 GHz to 6.29 GHz, and the broadband transmission ranges from 8.46 GHz to 11.32 GHz with an insertion loss of less than 1 dB.

关键词： Frequency selective surfaces Absorption Insertion loss Power system stability Propagation losses Stability analysis Broadband communication

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Semantic Segmentation Algorithm of Street View Image Via Deep Learning

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

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

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

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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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