Xiaokang Yang

ORCID: 0000-0001-9702-1032
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About
Contact & Profiles
Research Areas
  • Inertial Sensor and Navigation
  • Target Tracking and Data Fusion in Sensor Networks
  • GNSS positioning and interference
  • Geophysics and Gravity Measurements
  • Fuel Cells and Related Materials
  • Electrocatalysts for Energy Conversion
  • Advanced battery technologies research
  • Particle accelerators and beam dynamics
  • Magnetic confinement fusion research
  • Gait Recognition and Analysis
  • Robotics and Sensor-Based Localization
  • Maritime Transport Emissions and Efficiency
  • Spacecraft and Cryogenic Technologies
  • Plasma Diagnostics and Applications
  • COVID-19 diagnosis using AI
  • Fixed Point Theorems Analysis
  • Guidance and Control Systems
  • Real-time simulation and control systems
  • 3D Surveying and Cultural Heritage
  • Advanced SAR Imaging Techniques
  • Microgrid Control and Optimization
  • Aerospace Engineering and Applications
  • Numerical methods in inverse problems
  • Fusion materials and technologies
  • Astronomical Observations and Instrumentation

Tri Alpha Energy (United States)
2025

Northwestern Polytechnical University
2018-2024

Harbin Engineering University
2023

China University of Mining and Technology
2014

Xi’an University
2006-2012

According to the Kalman filter equations, an error distribution formula of state estimation is deduced, which includes influence initial variance matrix, system noise matrix and measurement matrix. A new definition degree observability, computing method, criteria judge level observability are also proposed. The concept can be used visualize over time. Combined with analysis main factors affecting given, optimize design reduce errors. proposed algorithm applied alignment simulation strapdown...

10.23919/chicc.2018.8482583 article EN 2018-07-01

Micro-Doppler signature produced by micro-motion contains movement and structure information which is useful for radar classification recognition. Aimed to recognition of the target with blades, motion dynamics echo models rotating linear rigid body in single frequency are set up. The micro-Doppler modulations point whole quantitatively analyzed. Furthermore, methods Smoothed Pseudo Wigner-Ville distribution image processing proposed modulation extraction parameter estimation. Finally,...

10.1109/csae.2012.6272556 article EN 2012-05-01

In this paper, we focus on exploring the fusion of images and point clouds for 3D object detection in view complementary nature two modalities, i.e., possess more semantic information while specialize distance sensing. To end, present a novel two-stage multi-modal network detection, taking both binocular raw as input. The whole architecture facilitates fusion. first stage aims at producing proposals through sparse point-wise feature Within stage, further exploit joint anchor mechanism that...

10.48550/arxiv.2008.10436 preprint EN other-oa arXiv (Cornell University) 2020-01-01

A laboratory test based on the gyroscope output reconstruction method (GORM) to evaluate super-high-accuracy strapdown inertial navigation attitude algorithms is proposed herein. period of coning motion, which inspires non-commutative error, simulated by turntable and inertial-grade IMU. The compensation performance error reflects accuracy algorithms. original low-dynamic data transformed into high-dynamic GORM solve problem that it difficult in laboratory. effectiveness feasibility are...

10.1109/jsen.2024.3389017 article EN IEEE Sensors Journal 2024-04-25

Fine-grained attribute analysis and data imbalance have always been research hotspots in the field of computer vision. Due to complexity diversity fine-grained images, traditional image classification methods shortcomings paying attention attributes images perform poorly when dealing with imbalanced sets. To overcome these problems, this study proposes a threshold algorithm based on deep metric learning. By introducing learning method, focus is enhanced. At same time, by applying pairwise...

10.59782/sidr.v2i1.109 article EN cc-by-nc-nd Scientific insights and discoveries review 2024-10-07

Error analysis of inertial navigation systems is one the important tasks in research. Through error analysis, contribution each system to total can be obtained. This work particularly rotary modulation system, because it necessary evaluate suppression effect rotation strategy on various sources through analysis. Firstly, a state space model has been established based model, and divided into linear combinations factors recursion decomposition. The derived covariance update equation used...

10.1051/jnwpu/20234161146 article EN cc-by Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 2023-12-01

Error distribution analysis is an important assistant technology for the research of SINS (Strapdown Inertial Navigation System). result can provide contribution different errors to final navigation error, which helpful modifying and optimizing SINS. To realize decomposing error into parts that caused by each source, state space model established covariance matrix decomposed according sources. The proposed method based on 34-dimension quantitatively analyze end initial errors, IMU (Inertial...

10.23919/ccc55666.2022.9902729 article EN 2022 41st Chinese Control Conference (CCC) 2022-07-25

To reduce noncommutative error (NCE) and improve the attitude-update accuracy in attitude algorithm of strapdown inertial navigation system (SINS), we assume that angular rate is represented as a polynomial to deduce relationship between increment sampling sequence derivatives quaternion. Subsequently, high-order numerical solution quaternion differential equation obtained by substituting into its Taylor expansion. Generally, will be constructed with series samples constant updating...

10.1109/tim.2022.3232737 article EN IEEE Transactions on Instrumentation and Measurement 2022-12-28

A novel topology of half bridge three-level full bidirectional DC-DC converter is proposed. The configuration and operational principles the converters with dual-phase-shifting control were analyzed. ZVS soft-switching range left right H-bridge under different voltage conversion ratio discussed. In order to improve whole system efficiency, Based on mathematical models transmission power backflow power, equation describing minimum given was formulated. optimized strategy for soft- switching...

10.1109/peac.2014.7038088 article EN International Power Electronics and Application Conference and Exposition 2014-11-01

To obtain a high-accuracy position with SINS(Strapdown Inertial Navigation System), initial alignment needs to determine attitude rapidly and accurately. High-accuracy grade IMU(Inertial Measurement Uint) can the indenpendently, however, low-accuracy gyroscope doesn't adapt heading angle, hence matrix will not be obtained. If using large misalignment angle model estiamting convergence time become much longer. For solving these two problems, novel algorithm combined backtracking reverse...

10.48550/arxiv.2202.13700 preprint EN other-oa arXiv (Cornell University) 2022-01-01

To make SINS algorithm afford to the atomic gyroscope and high-dynamic maneuver condition, many improvement methods for increase accuracy have been proposed in past decades. However researches mainly focus on attitude update, which is base of navigation calculation. When enough accurate realize high-accuracy navigation, velocity research should be paid more attention, obtained position with same level. improve apply it geographic frame, a based specific force polynomial herein. Simulations...

10.23919/ccc52363.2021.9550258 article EN 2021-07-26

Reconstructing deformable tissues from endoscopic stereo videos in robotic surgery is crucial for various clinical applications. However, existing methods relying only on implicit representations are computationally expensive and require dozens of hours, which limits further practical To address this challenge, we introduce LerPlane, a novel method fast accurate reconstruction surgical scenes under single-viewpoint setting. LerPlane treats procedures as 4D volumes factorizes them into...

10.48550/arxiv.2305.19906 preprint EN other-oa arXiv (Cornell University) 2023-01-01
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