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10th Symposium on Novel Optoelectronic Detection technology and Applications

作者： Yan, Jun Zang, Jingwen Zuo, Wenlong Tianjin Navigation Instruments Research Institute Tianjin300131 China Laboratory of Science and Technology on Marine Navigation and Control Tianjin300131 China

ISBN: (数字)9781510688155

ISBN: (纸本)9781510688148

The control loop of high-precision fiber optic gyroscope (HPFOG) has inherent delay. If the loop-gain is constrained to suppress the loop overshoot and vibration bias effect, the bandwidth of HPFOG will be limited to a certain extent, which leads to a large angular rate tracking error when the gyroscope is applied in high dynamic conditions and affects the dynamic performance of the system. A loop correction technique is proposed to reduce large dynamic angular rate tracking error and transient angular error. The loop stability margin and frequency characteristics after correction are analyzed, and the characteristic angular rate tracking error and transient angular error are simulated. The simulation results show that for a certain type of HPFOG, by using the proposed loop correction technique and design parameters, the angular rate tracking error and the maximum transient angular error grad respectively. The bandwidth is increased and the correction loop does not affect the stability performance of the closed-loop HPFOG, which can meet the requirements of angular motion measurement accuracy under the condition of specific vehicle impact vibration. © 2025 SPIE.

关键词： Gyroscopes

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Style Transfer Based on Discrete Space Modeling 4

Style Transfer Based on Discrete Space Modeling

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4th IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Huang, Zhiguo Chen, Wei Huang, Ziyu Han, Xu Yan, Jie Tianjin Navigation Instruments Research Institute China China State Shipbuilding Corporation Laboratory of Science and Technology on Marine Navigation and Control Tianjin China

ISBN: (纸本)9798350363586

This paper is dedicated to exploring headline style transfer techniques, with the core objective of enhancing the appeal of headlines while preserving their semantics. A significant challenge is the lack of parallel training datasets. To address this issue, we propose an unsupervised headline style transfer model called the Discrete Headline Generation (DHG) model. This model decomposes the process of generating text with specific styles into two key steps: content feature extraction and style modeling. Two text encoders separately extract the content information and style information from the input text, while a text decoder integrates the knowledge from both encoders to generate content with a specific *** that style signals are more abstract compared to textual content, we propose constructing the style representation space as a discrete space, where each discrete point corresponds to a specific style category. Experimental results demonstrate that the DHG model exhibits state-of-the-art performance in comprehensive evaluations. © 2024 IEEE.

关键词： Semantics

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A MEMS traveling-wave micromotor-based miniature gyrocompass

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Microsystems & Nanoengineering 2025年第1期11卷 335-346页

作者： Jinxuan Xie Tong Zhou Yu Chen Yi Zhou Bo Jiang Jing Zhang Zhenjun Wang Wentao Li Han Sun Xuyang Zhu Xiaoshi Li Tianyu Yang Yan Su School of Mechanical Engineering Nanjing University of Science and TechnologyNanjingChina Jiangsu Research Center for Intelligent Navigation and Control of Complex Motion NanjingChina Microsystem and Terahertz Research Center China Academy of Engineering PhysicsChengduChina Institute of Electronic Engineering China Academy of Engineering PhysicsMianyangChina

Traditional gyrocompasses,while capable of providing autonomous directional guidance and path correction,face limitations in widespread applications due to their large size,making them unsuitable for compact *** system(MEMS)gyrocompasses offer a promising alternative for ***,current MEMS gyrocompasses require the integration of motor rotation modulation technology to achieve high-precision north-finding,whereas conventional motors in previous research introduce large volume and residual magnetism,thus undermining their size ***,we innovatively propose a miniature MEMS gyrocompass based on a MEMS traveling-wave micromotor,featuring the first integration of a chip-scale rotational actuator and combined with a precise multi-position braking control system,enabling high accuracy and fast *** proposed gyrocompass made significant advancements,reducing its size to 50×42.5×24.5 mm^(3)and achieving an azimuth accuracy of 0.199°within 2 min,which is half the volume of the smallest existing similar devices while offering twice the *** improvements indicate that the proposed gyrocompass is suitable for applications in indoor industrial robotics,autonomous driving,and other related fields requiring precise directional guidance.

关键词： traveling wave micromotor gyrocompass motor rotation modulation technology miniaturization north finding conventional motors path correctionface autonomous directional guidance

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Cascaded Compensation of Filter Phase Imperfections in Random Demodulation 16

Cascaded Compensation of Filter Phase Imperfections in Rando...

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16th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2023

作者： Bian, Chenxi Zhang, Jingchao Li, Lin Qiao, Liyan Harbin Institute of Technology Dept. Automatic Test and Control Harbin China Navigation and Control Technology Research Institute of Norinco Group Beijing China

ISBN: (纸本)9798350327144

Analog-to-information converter (AIC) is an architecture that implements the compressive sensing (CS) theory and it is capable to generate compressed and digitized output directly from an analog input. Unfortunately, the hardware implementation of AIC inevitably faces the impact of non-ideal factors in the devices. The calibration link is crucial and can have a significant impact on the quality of the signal reconstruction at the back end of the AIC. Random Demodulation (RD) is one of the AICs with a simple structure, and its own structure and calibration link are relatively easy to implement. Low-pass filtering plays an important role in the RD analog acquisition process. In the back-end of the AIC, the impulse response of the low-pass filter in the time domain is constructed as part of the measurement matrix, which directly affects the accuracy of the signal reconstruction in the digital part of the AIC. Existing calibrations mostly focus on amplitude calibration, while the phase distortion of the low-pass filter reduces the accuracy of signal recovery in the RD, which is hardly considered in the calibrations of low-pass filters. To tackle this problem, a Cascaded compensation method of filter phase imperfections is designed, in which a specific all-pass filter is cascaded with the original phase distortion filter so that the phase of the cascaded filters is linear. Comparative simulation experiments were obtained for input signals with different sparsity. The results show that the Signal-to-Noise Ratio (SNR) is significantly improved by using the cascaded phase compensation method, which demonstrates that the proposed method is effective. © 2023 IEEE.

关键词： Demodulation

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Blind Image Despeckling Using a Multiscale Attention-Guided Neural Network

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2024年第1期5卷 205-216页

作者： Guo, Yu Lu, Yuxu Liu, Ryan Wen Zhu, Fenghua Wuhan University of Technology School of Navigation Wuhan430063 China Wuhan University of Technology Chongqing Research Institute Chongqing401151 China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Management and Control for Complex Systems Beijing100190 China

Coherent imaging systems have been applied in the detection of target of interest, natural resource exploration, ailment diagnosis, etc. However, it is easy to generate speckle-degraded images due to the coherent interference of reflected echoes, restricting these practical applications. Speckle noise is a granular interference that affects the observed reflectivity. It is often modeled as multiplicative noise with a negative exponential distribution. This nonlinear property makes despeckling of imaging data an intractable problem. To enhance the despeckling performance, we propose to blindly remove speckle noise using an intelligent computing-enabled multiscale attention-guided neural network (termed MSANN). In particular, we first introduce the logarithmic transformation to convert the multiplicative speckle noise model to an additive version. Our MSANN, essentially a feature pyramid network, is then exploited to restore degraded images in the logarithmic domain. To enhance the generalization ability of the MSANN, a multiscale feature enhancement attention module is incorporated into the MSANN to extract multiscale features for improving the imaging quality. A multiscale mixed loss function is further presented to increase the network robustness during training. The final despeckled images are naturally equivalent to the exponential versions of the output of the MSANN. Experimental results have shown that the MSANN has the capacity of effectively removing the speckle noise while preserving essential structures. It can achieve superior despeckling results in terms of visual quality and quantitative measures. © 2020 IEEE.

关键词： Additives

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A non-probabilistic reliability topology optimization method based on aggregation function and matrix multiplication considering buckling response constraints

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Applied Mathematics and Mechanics(English Edition) 2024年第2期45卷 321-336页

作者： Lei WANG Yingge LIU Juxi HU Weimin CHEN Bing HAN Institute of Solid Mechanics School of Aeronautic Science and EngineeringBeihang UniversityBeijing 100191China Aircraft and Propulsion Laboratory Ningbo Institute of TechnologyBeihang UniversityNingbo 315100Zhejiang ProvinceChina State Key Laboratory of Navigation and Safety Technology Shanghai Ship and Shipping Research InstituteShanghai 200135China National Engineering Research Center of Ship&Shipping Control System Shanghai Ship and Shipping Research InstituteShanghai 200135China

A non-probabilistic reliability topology optimization method is proposed based on the aggregation function and matrix *** expression of the geometric stiffness matrix is derived,the finite element linear buckling analysis is conducted,and the sensitivity solution of the linear buckling factor is *** a specific problem in linear buckling topology optimization,a Heaviside projection function based on the exponential smooth growth is developed to eliminate the gray *** aggregation function method is used to consider the high-order eigenvalues,so as to obtain continuous sensitivity information and refined structural *** cyclic matrix programming,a fast topology optimization method that can be used to efficiently obtain the unit assembly and sensitivity solution is *** maximize the buckling load,under the constraint of the given buckling load,two types of topological optimization columns are *** variable density method is used to achieve the topology optimization solution along with the moving asymptote optimization *** vertex method and the matching point method are used to carry out an uncertainty propagation analysis,and the non-probability reliability topology optimization method considering buckling responses is developed based on the transformation of non-probability reliability indices based on the characteristic ***,the differences in the structural topology optimization under different reliability degrees are illustrated by examples.

关键词： buckling topology optimization aggregation function uncertainty propagation analysis non-probabilistic reliability

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research on full-range autonomous navigation decision making of ships based on finite state machines 7

Research on full-range autonomous navigation decision making...

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7th IEEE International Conference on Transportation Information and Safety, ICTIS 2023

作者： Hu, Yingjun Dan, Yangwen Shao, Guangming Yu, Shuangning Han, Junqing Li, Bin Tianjin Navigation Instruments Research Institute Tianjin China China State Shipbuilding Corporation Laboratory of Science and Technology on Marine Navigation and Control Tianjin China

ISBN: (纸本)9798350308532

Intelligent ship is a major trend of future ship development, and ship intelligent navigation decision is one of the key technologies of intelligent ship. In order to further improve the level of ship intelligence and informatization and strive to realize the full autonomous navigation of the ship from berth to berth, this paper proposes a full-range autonomous navigation decision-making method of the ship based on finite state machine. Firstly, the full-range autonomous navigation is divided into different navigation scenarios according to the navigation task. Secondly, based on the finite state machine theory, the ship autonomous navigation decision model is constructed. Finally, the experimental verification is carried out in the simulation system based on the constructed autonomous navigation decision model. The experimental results show that the ship can realize the full-range autonomous navigation based on the model proposed in this paper, which verifies the feasibility of the construction method and can effectively support the ship autonomous navigation. © 2023 IEEE.

关键词： Decision making

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Design of Missile Roll Autopilot based on Linear Extended State Observer 34

Design of Missile Roll Autopilot based on Linear Extended St...

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第34届中国控制与决策会议

作者： Xu Xieyu Cui Xiaoxi Yu Wenbo Luo Penghao Gao Mi Norinco Group Institute of Navigation and Control Technology Beijing Aeronautic Technology Research Center Beijing JingHang Research Institute of Computing and Communication

ISBN: (纸本)9781665478977

With the expansion of missile envelope and the improvement of missile combat effect in recent years,the control of missile roll channel is faced with many kinds of unknown disturbances,such as oblique-blowing moment,additional torque at high angle-of-attack periodic interference of spin tail,severe noise and so on,which are very difficult to be modeled or analyzed *** traditional PID roll autopilot cannot keep the command tracking effectively under these *** on the ADRC idea,this paper designs a kind of LESO observer for missile roll channel without changing the original control parameters or structure,which can effectively estimate the disturbance and realize stable tracking of the roll angle command under all kinds of disturbance conditions.

关键词： LESO roll autopilot disturbance estimation and compensation ADRC

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Optimizing Epipolar Constraint Matching for Fisheye Cameras using Baseline Latitude-Longitude Technique 4

Optimizing Epipolar Constraint Matching for Fisheye Cameras ...

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4th International Computational Imaging Conference, CITA 2024

作者： You, Sibo Zhang, Yutong Zhang, Bozhi Ding, Yan Mo, Bo Song, Ping Beijing Institute of Technology Beijing100081 China China Electronics Technology Group Corporation 54th Research Institute Shijiazhuang050000 China North Navigation Control Technology Co. Ltd. Beijing100089 China

ISBN: (纸本)9781510688834

Visual Simultaneous Localization and Mapping (SLAM) systems often employ fisheye lenses due to their broad field of view, which enhances localization robustness. However, fisheye image distortion poses challenges for traditional epipolar constraint matching algorithms, affecting system accuracy and stability. In this paper, we propose a novel Baseline Latitude-Longitude technique to optimize epipolar search in fisheye images. Our approach constructs a coordinate system based on latitude and longitude, transforming the polar point search into a meridian search. Experimental results demonstrate that our method outperforms traditional matching algorithms, achieving higher recall and precision, thereby improving the robustness and accuracy of SLAM systems. This work has significant potential applications in autonomous drone navigation and other visual-based localization tasks. © 2025 SPIE.

关键词： Drones

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Physics-based model for boundary layer transition prediction in a wide speed range

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Chinese Journal of Aeronautics 2022年第9期35卷 143-159页

作者： Zaijie LIU Yuhan LU Sheng WANG Qiang WANG Chao YAN School of Aeronautic Science and Engineering Beihang UniversityBeijing 100083 China Research Institute of Navigation and Control Technology Beijing 100089China China Academy of Aerospace Aerodynamics Beijing 100074China

A new physics-based model employing three transport equations is developed for the simulation of boundary layer transitions in a wide speed range. The laminar kinetic energy is used to represent pretransitional streamwise velocity fluctuations, taking account of different instability modes. The fluctuation velocity components normal to the streamwise direction are modeled by another transport equation. Transition is triggered automatically with the development of the pretransitional velocity fluctuations. In the fully turbulent region, the model reverts to the k-ω turbulence model. Different test cases, including subsonic, supersonic and hypersonic flows around flat plates, airfoils and straight cones, are numerically simulated to validate the performance of the model. The results demonstrate the excellent predictive capabilities of the model in different paths of transition. The model can serve as a basis for the extension of additional transition mechanisms,such as rotation and curvature effects, roughness-induced transition and crossflow-induced transition.

关键词： Boundary layer High-speed Physics-based Transition model Transitional flow

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