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Ellipse Fitting Based on Neural Network Optimization 41

Ellipse Fitting Based on Neural Network Optimization

引用

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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A Dual-Band Multilayer Heterogeneous Frequency Selective Surface with Miniaturized Unit Cell

A Dual-Band Multilayer Heterogeneous Frequency Selective Sur...

引用

2018 IEEE International Conference on Computational Electromagnetics, ICCEM 2018

作者： Cui, Yichun Zhang, Shengjun Liu, Jiaqi Liu, Xin Xue, Hui Zhang, Borong National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing100076 China Beijing Institute of System Engineering Beijing China Beijing Institute of Astronauctical Systems Engineering Beijing100076 China

ISBN: (纸本)9781538612415

In terms that most researches about Frequency Selective Surface (FSS) concentrate on single layer structure design or FSS with one fundamental mode, a multilayer heterogeneous dual-band frequency selective surface composed of slot FSS, dielectric medium, patch FSS is proposed. This FSS possess miniaturized unit cell with dimension of 6× 6mm2, it acts as a dual-band filter in given bands while behaving as an entire reflector in others. Results show that this dual-band frequency selective surface has narrow transmission bandwidths near 8.5GHz and 19.5GHz and flat rejection bands except for that. The structure exhibits excellent stability for oblique incident angles and provides polarization-independent response with compact design which moves the operating bands away from grating lobes. A method to adjust the element's size is proposed as well based on basic elements when given pass band frequency changed. © 2018 IEEE.

关键词： Frequency selective surfaces

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Design of W-band Sheet Beam EIK

Design of W-band Sheet Beam EIK

引用

Asia-Pacific Conference on Microwave

作者： Shuyuan Chen Jinliang Bai Ran Zhang Pei Zheng Jiaqi Liu Xin Liu Hongyan Liu Lu Gao National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

ISBN: (数字)9781728135175

ISBN: (纸本)9781728135182

Microwave tube is a vacuum electron device which can be used for amplification in the microwave frequency range. Sheet beam Extended Interaction Klystron (EIK) is an attractive Millimeter Waves amplifier because of its compact configuration, small voltage and high gain per unit length. In this paper, RF structure and the whole tube for W-band sheet beam EIK has been designed. A new and effective method of designing and studying W-band sheet beam EIK is presented in this paper. In order to get the same output power, several kinds of W-band sheet beam EIK are designed and compared. By optimizing the position of cavities, the output power can achieve 30 kW, which is calculated by threedimensional particle in cell (3D-PIC) software. It is a powerful basis for the subsequent study of sheet beam EIK.

关键词： Power generation Klystrons Power amplifiers physics mathematics Urban areas

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Near-field Measurement Method for Electromagnetic Scattering of Electrically Large-scale Plasma

Near-field Measurement Method for Electromagnetic Scattering...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Jiaqi Liu Lu Gao Runhui Wu Xia Ai Song Chai Xin Liu Shengjun Zhang Yichun Cui National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

In the near-field test environment of 01500×3300mm vacuum vessel with low electromagnetic scattering, the relative measurement method is used, that is, the results of electrically large-scale plasma radar cross s... 详细信息

关键词： Radar cross-sections Volume measurement Standards organizations Electromagnetic scattering Elementary particle vacuum Energy measurement Plasma measurements

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A New Criterion For Optimization Of Total Variation Denoising

A New Criterion For Optimization Of Total Variation Denoisin...

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International Applied Computational Electromagnetics Society Symposium (ACES)

作者： Feng Xue Xia Ai Lu Gao Jiaqi Liu National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

Based on Chambolle’s algorithm, we develop a data-driven optimization scheme based on minimization of Stein’s unbiased risk estimate (SURE)—statistically equivalent to mean squared error (MSE). We propose a recursive evaluation of SURE to monitor the estimation error during Chambolle’s iteration; the optimal value is then identified by the minimum SURE. We exemplify the proposed methods with 1-D signal denoising.

关键词： Estimation error Deconvolution Noise reduction Minimization Computational electromagnetics Signal denoising Optimization

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UAV Track Planning Algorithm Based on Graph Attention Network and Deep Q Network 11th

UAV Track Planning Algorithm Based on Graph Attention Networ...

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11th International Conference on Image and Graphics, ICIG 2021

作者： Hu, Xinyu Gao, Jingpeng Jiang, Zhiye 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)9783030873578

To solve the problem that the deviation of the Unmanned Aerial Vehicle (UAV) flight status data collected by the equipment during flight leads to the failure of the mission, this paper proposes a UAV track planning algorithm based on Graph Attention Network and Deep Q Network (DQN). Firstly, we use the camera to collect images and apply pre-trained ResNet to extract image features. Secondly, we adopt the Graph Attention Network to establish the connection between the sensor-measured flight state information and the actual flight state information. Thirdly, we build the optimization model of flight state. Moreover, based on the Deep Reinforcement Learning (DRL) theory, the DQN-based UAV track planning system is trained. Finally, the system combined the optimized flight state to complete the optimal flight action output to realize the track planning. Simulation results show that, compared with the original algorithm which is under the same flight conditions as the proposed algorithm, the velocity deviation rate of the proposed algorithm is improved by 46.79%, which can plan a high-quality track and has good engineering application value. © 2021, Springer Nature Switzerland AG.

关键词： Image processing

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Attitude maneuver path optimization for small scale spacescraft

Attitude maneuver path optimization for small scale spacescr...

引用

International Symposium on Applied Machine Intelligence and Informatics (SAMI)

作者： Runle Du Jiaqi Liu Yonghai Wang Test Physics and Numerical Mathematics National Key Laboratory of Science and Technology Beijing China

During its flight, Spacecrafts need to maneuver its attitude across a number of predefined positions. The order to traverse these attitudes is a combinational optimization problem. In this article, fuel cost is estimated by analyzing the angular momentum change during attitude transitions. Based on this estimation, an optimization algorithm for both fuel-cost and maneuver-time oriented path planner is introduced. Simulation result demonstrated the effectiveness of proposed approach.

关键词： Attitude control Fuels Space vehicles Path planning Switches Optimization Heuristic algorithms

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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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Guidance law recognition of target pursuing vehicle

Guidance law recognition of target pursuing vehicle

引用

IEEE Metrology for Aerospace

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

Research on guidance law has begun to incorporate behavior information from non-cooperative target, and thus emphasized the importance and necessity of guidance law recognition. Recognition of guidance law on non-cooperative vehicle is highly supportive for pursued vehicle to conduct guidance law optimization, guidance law evaluation, and trajectory prediction. Huge variety of design and implementation of guidance law made recognition a hard problem. In this paper, a generic implicit guidance function is proposed to establish unified description of all known guidance laws. A practical model with time-varying guidance parameter is formulated to approximate generic implicit guidance function, and a Kalman Filter based observation data processing algorithm is proposed to build real-time guidance recognition. Simulation results show that, whether the vehicle under pursuit maneuvers or not, the guidance parameters of pursuing vehicle change or not, recognition algorithm can provide reasonable results.

关键词： Vehicles Kalman filters Trajectory Target recognition Target tracking Optimization Chapters

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Effective Observing Area based evaluating method for formation design

Effective Observing Area based evaluating method for formati...

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IEEE AESS European Conference on Satellite Telecommunications (ESTEL)

作者： Runle Du Jiaqi Liu Yonghai Wang Yizhong Fang Gang Meng National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China

When multiple flying vehicles collaborate in locating a target, their formation design is an important factor to the error of location. Based on the analyses of contribution that formation design made to the location error, Effective Observing Area is defined as a criterion to assess formation design. An evaluation method for formation design is then proposed in this paper, which can serve as a guide in further formation design. Digital simulation results have proved the effectiveness and correct of this concept.

关键词： Vectors Target tracking Algorithm design and analysis Space vehicles Extraterrestrial measurements

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