检索结果-内蒙古大学图书馆

Semiconductor and Electronic technology (ISSET), International Symposium on

作者： Jiale Li Tao Zeng Li Sui Science and Technology on Eletromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China Xi'an Institute of Electromechanical Information Technology Xi'an China

ISBN: (数字)9798350390285

ISBN: (纸本)9798350390292

The magnetoelectric sensor can solve the problem of acceleration sensor signal adhesion when a large aspect ratio warhead penetrates a multi-layer protective structure at high speed to certain extent, but no missile-borne acquisition and storage system suitable for this sensor has been found. Therefore, this paper designed a magnetoelectric sensor missile-borne acquisition and storage system, which used GD32E230K8T6 as the main control chip, used the on-chip SAR-ADC to realize the analog-to-digital conversion, and used a resistor network to realize the in-phase attenuation linear transformation for the signal. The data was stored in a 256Kbit FRAM with a sampling rate of more than 100kHz and a sampling accuracy of 12bit. The test result showed that the prototype accomplished the acquisition task and the storage task, and had power-off protection with 330ms working time after power-off. The prototype can meet the requirements of missile-borne acquisition and storage.

关键词： Resistors Nonvolatile memory Magnetoelectric effects Prototypes Random access memory Attenuation System-on-chip Reliability Protection Magnetic semiconductors

来源：评论

学校读者我要写书评

暂无评论

Weighted Symmetric ICP Point Cloud Alignment Algorithm Based on Local Feature Description

SSRN

引用

SSRN 2023年

作者： Wang, Chengjun Zheng, Zhen Zha, Bingting Li, Haojie Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory Xian China

Point cloud alignment based on local shape features is widely adopted due to its effectiveness and robustness, and most current local feature-based alignment algorithms are difficult to meet satisfactory performance in terms of alignment accuracy, robustness and time efficiency at the same time. In this paper, we propose a new weighted symmetric Iteration Nearest Point (ICP) point cloud alignment algorithm based on local feature description, which firstly encodes the spatial and deviation angle information of point clouds based on robust reference axes to form an efficient and robust feature descriptor, and then establishes the correspondence between point clouds based on local features, and combines with a 1-point sample consensus algorithm to obtain the initial alignment results. A weight function is constructed based on the residual distance between corresponding points, and the weighted symmetric ICP algorithm is designed using the symmetric point-to-plane distance as the optimization criterion to refine the initial alignment results. Experiments on public datasets show that our method has better alignment accuracy, robustness, and higher alignment efficiency than the currently popular local feature-based point cloud alignment algorithms. © 2023, The Authors. All rights reserved.

关键词： Iterative methods

来源：评论

学校读者我要写书评

暂无评论

Unsupervised Feature Selection with self-Weighted and 2,0-Norm Constraint 48

Unsupervised Feature Selection with self-Weighted and 2,0-No...

引用

48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023

作者： Yuan, Yongjin Wang, Zheng Nie, Feiping Li, Xuelong Northwestern Polytechnical University School of Computer Science Xi'an710072 China Xi'an710072 China Science and Technology on Electromechanical Dynamic Control Laboratory China Ministry of Industry and Information Technology Key Laboratory of Intelligent Interaction and Applications Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781728163277

At data mining field, it is a fundamental problem to dispose of high-dimensional data. Many existing unsupervised methods select features by manifold learning or exploring spectral analysis, thus preserving the intrinsic structure of raw data. But most of them follow an assumption that all features are equally importance. To settle this problem, we draw a novel feature selection module that simultaneously performs learning of feature weights matrix, similarity graph structure and projection matrix, so that the local structure after feature weighting and subspace sparse projection is received. Finally, we solve the model based on 2,0-norm directly by an iterative optimization algorithm and demonstrate the feasibility and effectiveness of our approach via extensive experiments. © 2023 IEEE.

关键词： Feature Selection

来源：评论

学校读者我要写书评

暂无评论

引用

作者： Zhaoxuan Guo Guanglin He Wei Guo AVIC China Aero-Polytechnology establishment Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology

For the current problems of limited environmental information,weak environment stimulus,and difficult to distinguish from interference environment stimulus faced by low-rotation munition fuzes in arming,this paper proposes a similarity identification method for characteristic curves of environment stimulus based on Euclidean distance(ED),and corresponding similarity *** judging the similarity between real-time speed curve and standard curve,abnormal curve and standard curve respectively,the reasonableness and reliability of similarity index and the feasibility of using it as the predetermined condition for fuze arming are confirmed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Low SNR FM signal preprocessing method based on low-order cyclic statistics and WVD distribution

Low SNR FM signal preprocessing method based on low-order cy...

引用

Robotics, Artificial Intelligence and Intelligent control (RAIIC), International Conference on

作者： Jianfeng Li Dingkun Huang Xiaopeng Yan Jian Dai Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing China

In order to solve the problem of poor noise suppression effect and long processing time of FM signal under the condition of low SNR by traditional preprocessing methods, a signal preprocessing method based on low-order cyclic statistics and WVD distribution is proposed. The method firstly calculates the cyclic mean value of incoming wave signal, and then transforms the incoming wave signal domain through IFFT algorithm with variable points. Finally, the time-frequency ridge of the FM signal is obtained by WVD time-frequency analysis, and the binary image transformation is carried out. Through simulation analysis, the time-frequency preprocessing method proposed in this paper can greatly reduce the calculation amount and improve the real-time performance while retaining the accuracy of time-frequency features, and provide effective support for subsequent sorting identification and parameter estimation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Dual-Band Flexible Terahertz Sensor Based on Rotated Metamaterial Structure

Dual-Band Flexible Terahertz Sensor Based on Rotated Metamat...

引用

2023 IEEE MTT-S International Wireless Symposium, IWS 2023

作者： Wang, Dongxu Xu, Kai-Da School of Information and Communications Engineering Xi'an Jiaotong University Xi'an China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China East China Normal University State Key Laboratory of Precision Spectroscopy Shanghai200241 China

ISBN: (纸本)9798350336535

In this article, a terahertz flexible metamaterial sensor with dual-band operating characteristics is introduced. The gold metamaterial array is arranged on the top surface of a polyimide film, while the structure is made up of a rotated structure with spiral-shaped strips. Two resonances occur at 0.37 and 1.13 THz with outstanding polarization insensitivity. The metamaterial sensor also has sensitive refractive index sensing properties, with sensitivities of 0.1 THz/RIU and 0.3 THz/RIU, respectively, at the two operating bands. This work shows potential applications in refractive index and nesticide sensing. © 2023 IEEE.

关键词： Metamaterials

来源：评论

学校读者我要写书评

暂无评论

An interference mitigation technique for automotive radar based on empirical wavelet transform and maximum correlation coefficient

An interference mitigation technique for automotive radar ba...

引用

3rd International Conference on control Theory and Applications (ICoCTA 2023)

作者： W. Zhou X. Hao J. Yang Q. Yang Science and Technique on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing People's Republic of China

With the development of autonomous driving technology, the probability of mutual interference between automotive radars has significantly increased. Aiming at the increasingly serious mutual interference problem among automotive radars, an interference mitigation technique based on empirical wavelet transform and maximum correlation coefficients is proposed. The technique achieves the reconstruction of clean target signals from interfered original signals by constructing an adaptive wavelet band-pass filter bank, and then locates the target echo signal by the maximum similarity coefficient to achieve the reconstruction of the target echo signal. The effectiveness of this technique has been verified through simulation experiments, and the experimental results show that the proposed technique can significantly reduce the impact of interference. Compared with several existing technologies, it further demonstrates the superiority of the proposed technique.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The Echo Model and Simulation Method of Impulse Radar Fuze Based on Attribute Scattering Center Model 3

The Echo Model and Simulation Method of Impulse Radar Fuze B...

引用

2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021

作者： Kong, Ming Li, Yuzhao Chen, Jichi Wang, Xu Wei, Guohua School of Information and Electronics Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory China Beijing Institute of Remote Sensing Equipment Beijing100854 China

This article focuses on solving the problem of performance evaluation and algorithm verification of ultra-bandwidth impulse radar fuze. A modeling and simulation method for the scattering echo of an impulse radar target is proposed. We distinguish the scattering center of the extended target and construct its echo based on the attribute scattering center model. Besides, the position variation characteristics of the scattering center, and the azimuth dependence of the scattering amplitude are fully considered. At the same time, the motion information of the target is modulated to obtain the target scattering echo of the impulse radar. We generate the scattering echo of the typical streamlined moving target at different observation angles by calculation. The changes of the echo position and amplitude of each scattering center are consistent with the scattering echo model. We use the generated echo data to image, and the imaging results are basically consistent with the shape of the target, which verifies the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Bandwidth

来源：评论

学校读者我要写书评

暂无评论

Point Cloud and Near-Infrared Composite Imaging Simulation of Ground Target for Uav-Based Line Array Imaging Model

SSRN

引用

SSRN 2024年

作者： Wang, Weihan Gao, Mingze Shi, Xiaolong Hu, Shiyuan Wang, Fengjie Wu, Yanjiang Chen, Huimin Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China Shanghai Radio Equipment Research Institute Shanghai201109 China

A simulation model is proposed for the UAV-based line array laser and line array near-infrared (NIR) compound imaging to solve the difficulty in obtaining data. Based on laser emission direction vector clusters and array unit echo power, a point cloud generation model is constructed. Solar radiation intensity in NIR band on the ground is calculated according to solar parameters and atmospheric transmittance. Line array NIR grayscale images are obtained by using theoretical model of NIR imaging system. Utilizing motion model of UAV platform, methods for stitch and line array synchronous scanning are proposed to obtain point cloud and NIR images, which contain comprehensive target information. Intrinsic matrix and extrinsic matrix are determined by geometric relationship and imaging principle. Established two types of composite image datasets: one for flat-field scanning and one for distortion. According to the real data obtained from equivalent experiments, the accuracy of simulated data is evaluated. The simulation accuracy of point cloud is 85 %, and the accuracy of NIR image is 92.5 %. The relative error of distortion effect simulation is 7.4 %. The results show that the model can correctly simulate the process of the UAV-based line array laser and line array NIR composite imaging, and the data obtained by simulation have high reliability. © 2024, The Authors. All rights reserved.

关键词： Infrared devices

来源：评论

学校读者我要写书评

暂无评论

Error Modeling Method for BeiDou Satellite Receivers Based on Long Short-Term Memory Neural Networks 24

Error Modeling Method for BeiDou Satellite Receivers Based o...

引用

Proceedings of the 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis

作者： Boda Li Hongsen Ji Guotai Xu Keyu Qi Ziyang Lin Shuo Zhang Xi'an Institute of Electromechanical Information Technology Xi'an Shaanxi China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an Institute of Electromechanical Information Technology Xi'an Shaanxi China School of Mechatronical Engineering of Beijing Institute of Technology Beijing China Liao Shen Industries Group Co LTD Shenyang Liaoning China

ISBN: (纸本)9798400711831

In response to the influence of errors in the BeiDou satellite receiver on the precision correction fuze in two-dimensional correction munitions during accurate weapon strikes, this study proposes a BeiDou satellite receiver positioning error compensation model based on Long Short-Term Memory (LSTM) networks. By analyzing radar data from flight tests and the measurement data retrieved from recovered projectiles, the receiver error sequence is isolated. Considering the relationship between the receiver and its dynamic characteristic parameters, an error prediction model based on LSTM is established. The model takes the dynamic characteristic parameters of Beidou satellite receiver as input and the error sequence of each dynamic parameter as output to supplement the missing error sequence and compensate the error. The results show that the model can effectively predict receiver errors and reduce the maximum errors of position and speed. Through Monte Carlo simulation, error compensation effectively improves the accuracy of projectile correction, and verifies the effectiveness of the model. This error compensation method can effectively improve the accuracy and combat effectiveness of two-dimensional trajectory correction control

关键词： BeiDou satellite receiver

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：