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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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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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Motion Prediction for Target Tracking with Bearing-only Measurement 41

Motion Prediction for Target Tracking with Bearing-only Meas...

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第41届中国控制会议

作者： Cuicui Jiang Yizhong Fang 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 Beihang Hangzhou Innovation Institute Yuhang

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Target tracking with bearing-only measurement plays an important role for autonomous guidance and control ***,in some no-bearing measurement cases,the target motion should be predicted based on the available history *** this end,this paper compares two typical nonlinear Kalman filter techniques with the bearing measurement to firstly estimate the target state and ***,several Sigma points are chosen around the state by combining the unscented transform with the ***,for a long prediction time,the Sigma points are fed into the kinematic model to recursively obtain the target ***,the statistical properties are concluded from the Sigma points predictions,including the state mean and *** is shown that the covariance can provide an uncertainty region analysis for the target ***,the numerical simulation is given to validate the effectiveness of the proposed motion prediction approach.

关键词： Bearing-only Kalman Filter Unscented Transform Motion Prediction

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Periodic Structures and Its Interaction to EM Wave Spectrum, Ideas From X-Ray to MW Wave

Periodic Structures and Its Interaction to EM Wave Spectrum,...

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

作者： Tang, Yunhui Gao, Lu Wang, Ruzhi Zhang, Shengjun Song, Hang Zhang, Yuning Ai, Xia Xie, Lei Jiao, Luting Zhang, Xiaoling He, Jing Liu, Jiaqi Beijing University of Technology Beijing China National Key Laboratory of Science & Technology on Test Physics and Numerical Mathematics Beijing China Beijing Institute of Space Long March Vehicle Beijing China

ISBN: (纸本)9781665452366

X-ray is an important tool for characterizing materials, which is based on the idea that all crystals are composed of atoms or molecules stacking in a particular type, basically expressing as unit cell, diffracting the incident ray with a proper type. In analogue, the periodic structures which are mostly constructed artificially show special desired properties, such as the properties of grating, frequency selective surfaces, metamaterials and metasurface. In this paper, A study was done on the insight of the relation of wave interaction with periodic structures based on X-ray diffraction and control of electromagnetic waves. © 2022 IEEE.

关键词： Periodic structures

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Performance Analysis of UAV Communication Network Based on Formation Network Model

Performance Analysis of UAV Communication Network Based on F...

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Computer Communication and Artificial Intelligence (CCAI), International Conference on

作者： Jing Cao Xiaoqin Xue Guojiang Xia Beijing Institute of Aerospace Systems Engineering Beijing China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (数字)9798350362763

ISBN: (纸本)9798350362770

UAV formation networks are widely used in military and civilian industries due to their high flexibility and scalability, however, due to the complex space environment in which UAV formations are located, they are susceptible to different types of interference such as climate and radiation, resulting in changes in service transmission performance. Therefore, in order to evaluate the impact of interference on the performance of UAV formation network, this paper first constructs a UAV formation network model, then defines a series of index parameters to measure network performance from the perspective of network structure and network business, and conducts simulation experiments for the network spatial structure and performance of different user QoS (Quality of Service), and finally carries out theoretical analysis and simulation evaluation of the performance changes of the network before and after different types of interference. It provides a reference for the design and application of UAV formation network.

关键词： Industries Analytical models Scalability Computational modeling Interference Quality of service Autonomous aerial vehicles

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An Improved DSDV Protocol based on Link Stability with Adaptive Period for Intra-cluster Routing in High-dynamic Flying UAV Networks

An Improved DSDV Protocol based on Link Stability with Adapt...

引用

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

作者： Zhang, Yiguo Qian, Lai Xue, Xiaoqin Wang, Wei Xi'an Polytechnic University College of Computer Science Xi'an 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)9781665452366

We propose a stability-based adaptive-period DSDV intra-cluster routing protocol that automatically adjusts the routing update period by the link stability among the nodes in the cluster structure, thus reducing the network overhead of the network structure in maintaining the routing table. We describe the link stability and adaptive period implementation and test the proposed routing protocol in the cluster structure based on network simulation. The implementation results show that the proposed routing protocol has better performance than the traditional DSDV routing protocol, can improve the network throughput and reduce the routing overhead in the network, and has good adaptability in the cluster with fast changing network topology. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Plasma Diagnosis Method Based on Microwave Reflection Characteristics By GA-ANN

Plasma Diagnosis Method Based on Microwave Reflection Charac...

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International Conference on Microwave and Millimeter Wave technology Proceedings

作者： Yu-hang Shi Run-hui Wu Jin-jun Mo School of Information And Communication Guilin University of Electronic Technology Guilin China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (数字)9798350389968

ISBN: (纸本)9798350389975

In this paper, a microwave reflection method based on fusion algorithm is proposed to diagnose the peculiarity of plasma. This fusion algorithm is composed of genetic algorithm (GA) and neural network (ANN), that is GA-ANN. Only a single horn antenna is used to emit spherical waves to the preset plasma, and the scattering peculiarity of the horn antenna (impedance bandwidth, resonance point and gain) and the corresponding plasma characteristics (characteristic frequency, collision frequency) are obtained. The weight and bias of ANN are optimized by GA screening mechanism. Then GA-ANN is used to establish the mapping relationship between the scattering characteristics of antenna and plasma, which is finally used to diagnose the unknown plasma characteristics. The experimental results show that the relative error of plasma diagnosis using GA-ANN is 0.7 lower than that using ANN alone.

关键词： Microwave antennas Microwave integrated circuits Horn antennas Scattering Resonant frequency Reflection Resonance

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Research on Heterogeneous Parallel Algorithms for Radar Signal Processing in OpenCL Platform

Research on Heterogeneous Parallel Algorithms for Radar Sign...

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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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A Radar Signal Modulation Recognition Algorithm Based on Multi-branch Fusion Difference 6

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

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

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

ISBN: (纸本)9798350399059

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. © 2023 IEEE.

关键词： Convolution

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