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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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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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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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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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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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Multisensor-Based Maneuvering Target Tracking Algorithm under Non-Gaussian Measurement Noise 3

Multisensor-Based Maneuvering Target Tracking Algorithm unde...

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3rd International Conference on Defence technology, ICDT 2022

作者： Zhou, Yu Qin, Jianxin Zha, Bingting School of Mechanical Engineering Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an710065 China

The UAVs have become a huge threat in the battlefield. The excellent maneuverability makes them competent for the actual combat operations such as investigation and strike. Therefore, accurate tracking of UAVs is critical. Centralized radar/IR fusion system has been widely concerned to track the UAVs because of the complementary characteristics between these two sensors. The appearance of non-Gaussian measurement noise produces a negative impact on tracking accuracy. This paper proposes a novel IMM-CMCSCKF algorithm which can improve the tracking accuracy of radar/IR fusion system for maneuvering target under non-Gaussian measurement noise. The heterogeneous measurements from radar and IR are firstly fused. Then, CMCSCKF algorithm is presented based on MCC to deal with non-Gaussian measurement noise. To improve maneuvering target tracking accuracy, CMCSCKF is embed into IMM algorithm. Numerical simulation verifies the effectiveness of the proposed IMM-CMCSCKF. © Published under licence by IOP Publishing Ltd.

关键词： Gaussian distribution

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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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Blind frequency estimation of pseudo-code phase and linear frequency modulation composited fuze by Duffing oscillator 55

Blind frequency estimation of pseudo-code phase and linear f...

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55th International Conference on Vibroengineering

作者： Guan, Enming Yan, Xiaopeng Lv, Minghui Wan, Yi Chen, Yanjun Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China

In order to blind estimate pseudo-code (PN) code phase modulation and linear frequency modulation composited fuzecarrier frequency. By improving the traditional Duffing oscillator detection model of strong reference signal, an approximate carrier frequency blind estimation method by small-scale periodic Duffing oscillator is proposed in this paper. In this method, the internal dynamic frequency is used to approximate the changes of the output time domain and phase diagram of the chaotic system during the frequency to be measured. Then calculate the different frequency to blind estimate the carrier frequency of the signal. This method widens the range of frequency detection and can realize blind frequency estimation with less prior knowledge. The parameter estimation effect of the approximate carrier frequency estimation method based on small cycle Duffing oscillator under different signal to noise ration (SNR) is simulated and analyzed in this paper. The results show that this method has better parameter estimation performance than the traditional composited fuze frequency estimation method, especially in the environment of low SNR. © 2022 JVE International. All rights reserved.

关键词： Frequency estimation

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