检索结果-内蒙古大学图书馆

Radar emitter multi-label recognition based on residual network

Defence technology（防务技术） 2022年第3期18卷 410-417页

作者： Yu Hong-hai Yan Xiao-peng Liu Shao-kun Li Ping Hao Xin-hong Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing100081China Beijing Institute of Telemetry Technology Beijing100081China

In low signal-to-noise ratio(SNR)environments,the traditional radar emitter recognition(RER)method struggles to recognize multiple radar emitter signals in *** paper proposes a multi-label classification and recognition method for multiple radar-emitter modulation types based on a residual *** method can quickly perform parallel classification and recognition of multi-modulation radar time-domain aliasing signals under low ***,we perform time-frequency analysis on the received signal to extract the normalized time-frequency image through the short-time Fourier transform(STFT).The time-frequency distribution image is then denoised using a deep normalized convolutional neural network(DNCNN).Secondly,the multi-label classification and recognition model for multi-modulation radar emitter time-domain aliasing signals is established,and learning the characteristics of radar signal time-frequency distribution image dataset to achieve the purpose of training ***,time-frequency image is recognized and classified through the model,thus completing the automatic classification and recognition of the time-domain aliasing *** results show that the proposed method can classify and recognize radar emitter signals of different modulation types in parallel under low SNRs.

关键词： Radar emitter recognition Image processing Parallel Residual network Multi-label

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Intelligent target recognition method for infrared/laser composite fuze 4

Intelligent target recognition method for infrared/laser com...

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4th International Conference on Defence technology, ICDT 2024

作者： Yan, Jiangyi Duan, Rongxin Wang, Zhi Zheng, Gaoxiang Zhou, Peicheng Yang, Panxiong Wang, Keyan State Key Laboratory of Integrated Services Networks Xidian University Xi'an China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China

In the context of complex environment, the intelligent target recognition method for infrared/laser composite imaging fuze encounters the following challenges: 1) The dearth of infrared/laser composite imaging fuze data hampers the advancement and implementation of deep learning technology in fuze target recognition;2) The extant infrared/laser composite imaging fuze target recognition methods exhibit suboptimal recognition accuracy in complex terrain and ground conditions, which predisposes them to early or false explotions. To address the aforementioned issues, we have constructed infrared/laser composite imaging target and background dataset in diverse scenes, terrains and features, which provides effective data support for the intelligent recognition of composite imaging fuze. Additionally, we have designed a cross-modal fusion attention mechanism and an invariant feature learning method. The method facilitates the fusion of multimodal complementary information and the intelligent recognition of multi-scale and multi-morphology targets in complex scenes. Furthermore, they enhance the accuracy of the composite imaging fuze, enabling it to adapt to complex terrains. This enhances the combat effectiveness of composite imaging fuze in complex environments, while also offering technical support for the intelligentization of target recognition systems in future ballistic fuze. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Deep learning

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Research on weak signal detection based on wavelet-correlation detection algorithm 4

Research on weak signal detection based on wavelet-correlati...

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4th International Conference on Digital Signal and Computer Communications, DSCC 2024

作者： Cheng, Biyao Li, Ming Wang, Xiaozhuo Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China Xi’an Institute of Electromechanical Information Technology Xi’an710065 China School of Astronautics Northwestern Polytechnical University Xi'an710072 China

ISBN: (纸本)9781510681538

The detection of weak signals has a wide range of applications in engineering. In this paper, a combined algorithm of wavelet transform and correlation detection is proposed to address the problems in current detection methods, namely the wavelet-correlation detection algorithm, to detect weak signals. By building a Simulink model on Matlab and implementing simulation through programming, the reliability of the algorithm is verified. The detection performance of the algorithm for weak signals in fixed noise and color noise environments is analyzed, and compared with the cross-correlation detection method. The results show that the wavelet-correlation detection algorithm can distinguish weak signal features from strong noise backgrounds. Taking the 5.2943dB input signal as an example, the wavelet- correlation detection algorithm improves the relative error of amplitude from 1.89% to 0.35%. Signal-to-noise ratio increased by 8.7638dB. © 2024 SPIE.

关键词： Wavelet transforms

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Heat Generation Measurement of MOSFET in High-Frequency Transformer Circuits 4

Heat Generation Measurement of MOSFET in High-Frequency Tran...

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4th International Conference on Defence technology, ICDT 2024

作者： Cheng, Jiale Zhang, Yinghao Cheng, Xiangqun Liu, Yang School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing100081 China

With the miniaturization of semiconductor devices, heat generation management for Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET) is of vital importance. High-frequency switching of MOSFETs is a key component in the operation of transformer circuits. Thus, gaining a deeper understanding of MOSFET heat generation under these high-frequency operating conditions is essential. In this study, we present a transformer circuit based on Pulsed Width Modulation (PWM) regulation and provide a reliable method to measure the temperature variation of MOSFET. We found that higher working frequency usually leads to a higher heat accumulation and thus a higher temperature change. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Oxide semiconductors

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Design and Test of Missile-Borne Acquisition and Storage System for Magnetoelectric Sensor 3

Design and Test of Missile-Borne Acquisition and Storage Sys...

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3rd International Symposium on Semiconductor and Electronic technology, ISSET 2024

作者： Li, Jiale Zeng, Tao Sui, Li Beijing Institute of Technology Science and Technology on Eletromechanical Dynamic Control Laboratory Beijing100081 China Xi'an Institute of Electromechanical Information Technology Xi'an710065 China

ISBN: (纸本)9798350390285

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. © 2024 IEEE.

关键词： Linear transformations

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Research on Miniature Three-Axis Switch Used in Fuze 4

Research on Miniature Three-Axis Switch Used in Fuze

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4th International Conference on Defence technology, ICDT 2024

作者： Liang, Hanwen Jia, Senqing Guo, Hua Wang, Lifang Song, Rongchang Zhou, Xingzong Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China Electromechanical Dynamic Control Laboratory Xi'an China Huaihai Industry Group Co. Ltd. Changzhi China Beijing Power Machinery Research Institute Beijing China

This paper proposes a miniature three-axis switch based on precision mechanical processing technology. A dynamic analysis of the three-axis switch is conducted, and the standard S-type micro-spring is optimized for design requirements. A contact enhancement design with flexible contacts on the mass block is proposed, and the structural design of a layered three-axis sensitive three-axis switch is completed. Finite element simulation methods are used to analyze the stiffness modal properties, multi-directional closure thresholds, and contact performance of the three-axis switch. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Precision engineering

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Time-frequency Preprocessing Method of Radiation Source Signal based on Cyclic Statistics

Time-frequency Preprocessing Method of Radiation Source Sign...

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2023 International Conference on Image, Signal Processing, and Pattern Recognition, ISPP 2023

作者： Huang, Dingkun Yan, Xiaopeng Lv, Minghui Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9781510666351

To improve the real-time performance of radiation source signal time-frequency analysis, a fast radiation source signal time-frequency feature extraction method based on low-order cyclic statistics and Choi-Williams transform is proposed. First, the low-order cyclic statistics of the radiation source signal are calculated. Second, the IFFT is used to recover the cyclic domain signal, and the number of sampling points of the radiation source signal is adaptively controlled by the cyclic mean and IFFT point number. Finally, the recovered signal is used for CWD time-frequency analysis. In order to highlight the time-frequency image features, the geometric features of the signal modulation type are extracted using binary image transformation. Simulation analysis shows that the proposed time-frequency preprocessing method can significantly reduce the computational complexity while maintaining the accuracy of time-frequency features and improving real-time performance, providing effective support for subsequent sorting and recognition and parameter estimation work. © 2023 SPIE.

关键词： Binary images

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Point Cloud Target Registration Algorithm Based on Local Feature Description 3

Point Cloud Target Registration Algorithm Based on Local Fea...

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3rd International Conference on Defence technology, ICDT 2022

作者： Wang, Chengjun Zha, Binting School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory China

Point cloud data has received extensive attention in the field of target recognition and target tracking due to its rich target information, and point cloud registration is one of the basic tasks in point cloud applications. Aiming at the problem that the feature descriptor in the traditional registration algorithm is complicated to calculate and cannot sufficiently describe the features of the point cloud, this paper proposes a local feature descriptor that integrates the local normal vector angle features, projection distance features, and distribution density features of the point cloud. The feature similarity is introduced to determine the corresponding point pairs between the template point cloud and the target point cloud, and the point cloud registration task is completed based on local feature matching. Experiments show that the feature descriptor in this paper is simple to calculate and can sufficiently describe the local features of the point cloud, a good correspondence between points can be established based on the feature descriptor, and the algorithm has good robustness. The registration algorithm proposed in this paper can provide a reference for the fields of target recognition and target pose estimation, etc. © Published under licence by IOP Publishing Ltd.

关键词： Target tracking

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Segmentation Clustering Algorithm for Point Cloud Processing of Targets on the Ground 3

Segmentation Clustering Algorithm for Point Cloud Processing...

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3rd International Conference on Defence technology, ICDT 2022

作者： Huang, Jinbo Zheng, Zhen Zhang, Yifei Zhou, Yu School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory China

After the ground extraction algorithm, there are multiple objects, including the target in the non-ground point cloud. To effectively extract the features of individual objects and overcome the dependence of the traditional algorithm based on the normal vector and curvature of the region growing point cloud segmentation method on the initial point, the normal vector angle in the neighborhood, and the curvature threshold selection. In this paper, we propose a fast clustering segmentation method for region-growing point clouds based on neighborhood density. The test results show that the point cloud segmentation algorithm proposed in this paper has better performance than the traditional Euclidean clustering point cloud segmentation algorithm and region growing point cloud segmentation algorithm in terms of timeliness and correct segmentation rate. This new segmentation clustering algorithm can quickly implement automatic point cloud clustering segmentation of ground objects. © Published under licence by IOP Publishing Ltd.

关键词： Clustering algorithms

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Low SNR FM signal preprocessing method based on low-order cyclic statistics and WVD distribution 2

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

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2nd International Conference on Robotics, Artificial Intelligence and Intelligent control, RAIIC 2023

作者： Li, Jianfeng Huang, Dingkun Yan, Xiaopeng Dai, Jian Beijing Institute of Technology Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing100081 China

ISBN: (纸本)9798350328004

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. © 2023 IEEE.

关键词： Binary images

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