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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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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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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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Research on Pulse Linear Array LiDAR Point Cloud Enhancement Algorithm in Snowy Environment 4

Research on Pulse Linear Array LiDAR Point Cloud Enhancement...

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4th International Conference on Defence technology, ICDT 2024

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

LiDAR point cloud data acquisition is difficult in snowfall environment, which leads to fewer point cloud datasets in snowy days and affects the subsequent research on target recognition algorithms in bad weather. In this paper, we investigate a point cloud enhancement algorithm based on pulse linear array LiDAR in snowfall environment. We use a linear array data acquisition method to collect the point cloud data of sunny and snowy days, and the point cloud data of sunny days and different degrees of snowy days are compared. We establish a linear array pulse LiDAR acquisition model and a single-line laser snowfall simulation model. The results show that a large number of snow particles gather in the vicinity of pulse linear array LiDAR and they are conical in distribution. The simulation model can generate point cloud data close to the real snow environment. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Snow

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Fabrication of a sidewall reflective optical switch by using FIB etching

Fabrication of a sidewall reflective optical switch by using...

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2024 International Conference on Next Generation Electronics and Photonics, INGEP 2024

作者： He, Zhen Cao, Jun Dai, Jun School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China

As a key device of micro-optical electromechanical system technology, silicon-based MEMS optical switches have become a frontier research hotspot in the current world of science and technology development. The mechanical analysis and structural design of sidewall reflective optical switch is straightforward. However the high roughness of the sidewall limits the application of MEMS sidewall reflective optical switches. This study proposes an effective method to process the sidewall surface by using focused ion beam (FIB) etching. The effect of FIB etching on an Si sidewall surface was experimentally investigated. The surface roughness of the sidewall mirror was improved from 126 nm to 5 nm. The improvement in FIB etching for a MEMS sidewall reflective optical switch was demonstrated. The output power of the MEMS sidewall reflective optical switch has been increased by more than 300%. We believe this work is significant for high precision processing for sidewall reflective optical switches, promoting the application in the research fields of optical engineering, microfluidics, instrumentation and so forth. © Published under licence by IOP Publishing Ltd.

关键词： Precision engineering

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Fast Super-Resolution DOA Estimation for Unknown Number of Radiation Sources Based on Complex Convolutional Neural Networks 2

Fast Super-Resolution DOA Estimation for Unknown Number of R...

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2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Ma, Hui Liu, Xianpeng Liu, Hongwei Yang, Junxiang Xidian University National Key Laboratory of Radar Signal Processing Xi'an China Xian Institute of Electromechanical Information Technology Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (纸本)9798331515669

To address the high computational complexity of traditional Direction of Arrival (DOA) estimation techniques and the limitations of previous neural networks in handling fixed signal sources, a new signal processing model was developed. This model employs sparse representation methods and deep learning through complex convolutional neural networks(CCNN). Focused research on the array's performance under unknown radiation sources using the complex convolutional neural network algorithm for super-resolution DOA estimation was conducted in a PyTorch environment. The results indicate that the complex convolutional model has a lower DOA computation complexity and higher precision in handling unknown radiation sources. After incorporating sparse representation with sampled data through the CCNN model for DOA estimation, an improvement in estimation accuracy and a reduction in computational complexity were observed compared to methods relying solely on sparse representation. Additionally, this model can effectively detect incoming waves from unknown radiation sources, unlike previous neural networks. © 2024 IEEE.

关键词： Convolutional neural networks

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Characterization of laser power on additive manufacturing of heterostructure parts 4

Characterization of laser power on additive manufacturing of...

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4th International Conference on Defence technology, ICDT 2024

作者： Li, Shiyi Feng, Hengzhen Lv, Sining Kan, Wenxing Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing China Chongqing Innovation Center Beijing Institute of Technology Chongqing China

In order to meet the demand for low-cost and rapid prototyping of micro-small parts for highly dynamic microsystems, metal additive manufacturing technology has become one of the important means of manufacturing heterogeneous parts. In this paper, the residual stress and deformation generated by the rapid prototyping process of micro-small and complex parts under different laser frequencies are firstly simulated and analyzed, and then in order to check the resistance of the parts to high overload, the densities and hardnesses of the printed parts are experimentally tested. The results show that, on the basis of ensuring that the powder can be fully melted, the lower laser power, the smaller residual stress of the micro-small complex parts, the smaller deformation of the parts caused. The physical energy density also shows a certain correlation to the density and hardness of the specimen, the higher physical energy density, the higher density and hardness of the specimen. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Brinell Hardness

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Simulation and experimental study of capacitive sensors for penetration fuze 9

Simulation and experimental study of capacitive sensors for ...

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9th International Conference on Energy Materials and Electrical Engineering, ICEMEE 2023

作者： Zou, Qipeng Sui, Li Zhang, Meiyun Shi, Gengchen Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China Northwest Industries Group Co. Ltd Xi'an710043 China

ISBN: (纸本)9781510672765

More and more important military facilities and command centers have been moved underground or protected with bunkers, so penetration munitions for such targets have become one of the important research directions for military equipment research institutes in various countries. The penetration fuze is a key part to achieve efficient destruction of penetration munitions, but the current high g accelerometers which are widely used in the penetration fuze have problems, such as the output signal mixing with the structural response of the projectile and noise signals, signal sticking and so on. In order to solve these problems, we designed a kind of capacitance sensor for penetration fuze. This paper further designed a signal processing circuit for the sensor, and the simulation and hammering tests were conducted to verify that the capacitive sensor for the penetration fuze can effectively suppress the structural response of the projectile and noise interference, and the signal sticking phenomenon can be reduced under the working condition of the penetration multi-layer target plate. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Sensors Signal processing Capacitance Accelerometers Elasticity Interference (communication) Weapons Reflection Simulations

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Anti-jamming Method of Radio Fuze Based on KNN 4

Anti-jamming Method of Radio Fuze Based on KNN

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4th International Conference on Intelligent control, Measurement and Signal Processing, ICMSP 2022

作者： Liu, Bing Hao, Xinhong Yang, Jin Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China

ISBN: (数字)9781665486583

ISBN: (纸本)9781665486583

In order to improve the anti-jamming ability of radio fuze and maximize the effectiveness of radio fuze in complex electronmagnetic environments, it is necessary to distinguish targets and jamming signals effectively. This research takes a sample of FM radio fuze as an example, mainly considers the sine amplitude modulation frequency-sweeping (Sine-AM) jamming signal and noise amplitude modulation frequency-sweeping (Noise-AM) jamming signal, which are pose the greatest threat to the FM radio fuze. The frequency exponential entropy and norm entropy of the fuze output signal are extracted. Then these features are input to K nearest neighbors classifier, in this way, the target signals and jamming signals can be effectively distinguished, Further improved the FM radio fuze ability to anti-jamming signal. The expermient result shows that using KNN classifier can get a classification accuracy more than 99%. © 2022 IEEE.

关键词： Amplitude modulation

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A Spatial Modes Filtering FETD Method for 3-D Periodic Structures

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Applied Computational Electromagnetics Society Journal 2025年第2期40卷 96-102页

作者： Wang, Yixin Wei, Bing Fan, Kaihang He, Xinbo Zhao, Sihan Department of Information Technology Shaanxi Police College Xi’an710021 China School of Physics Xidian University Xi’an710071 China School of Information and Communications Engineering Xi’an Jiaotong University Xi’an710049 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an710065 China

– A spatial modes filtering (SMF) finite-element time-domain (FETD) method with periodic boundary condition (PBC) is proposed for efficiently analyzing the electromagnetic characteristics of 3-D periodic structures with partial fine structures. The system matrices of FETD become asymmetrical because of the introduction of PBC, which prevents the system eigenvalue analysis. By decomposing the system matrix into PBC-independent and PBC-related parts, the unstable spatial modes under the given large time step can be found and removed from the symmetrical PBC-independent system matrices. Then the system matrix equation and time marching of the SMF-FETD and SMF-FETD method based on local eigenvalue solution (LES-SMF-FETD) with PBC are obtained. Numerical results illustrate the efficiency and effectiveness of the SMF-FETD method with PBC based on non-uniform mesh for analyzing the transport properties of 3-D periodic structures. © ACES.

关键词： Eigenvalues and eigenfunctions

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