A5100738477- Target Tracking and Data Fusion in Sensor Networks
- Advanced Algorithms and Applications
- Inertial Sensor and Navigation
- Machine Learning and ELM
- Recommender Systems and Techniques
- Advanced Decision-Making Techniques
- Power Systems and Renewable Energy
- Robotics and Sensor-Based Localization
- Power Systems and Technologies
- Advanced Sensor and Control Systems
- Software System Performance and Reliability
- GNSS positioning and interference
- Advanced Computational Techniques and Applications
- Web Data Mining and Analysis
- Business Process Modeling and Analysis
- Smart Grid and Power Systems
- Caching and Content Delivery
- Fault Detection and Control Systems
- Advanced Measurement and Detection Methods
- Service-Oriented Architecture and Web Services
Shenyang Jianzhu University
2016-2024
Hebei University of Science and Technology
2023
Beijing University of Posts and Telecommunications
2020
Aviation Industry Corporation of China (China)
2019
Beijing Aerospace Flight Control Center
2008
The Inertial Navigation System/Global Positioning System (INS/GPS) fusion navigation technology commonly used by unmanned ground vehicles is prone to GPS interruption in complex environments, resulting the inability of system locate accurately. This paper designs an INS/GPS/Odometer/Vision/Magnetometer scheme response this problem. Add odometer, vision, and magnetometer INS/GPS integrated system, use odometer dead reckoning suppress position offset caused interruption, reduce cumulative...
The efficiency of retrieval system is crucial for large-scale information systems. By analyzing the documents and users query logs a real search engine based on Web caching, through large number statistical analyzed user behavior found that terms entered by in process clicking queries to URL page showed clear temporal locality, distribution characteristics meet power function has good self-similarity. In this paper,analyzed ranking investigated mass website use into mirror degree, directory...
Particle filter algorithm has a unique advantage in dealing with nonlinear, non-Gaussian state estimation. method cannot accurately estimate the of system due to particle degeneration and lack diversity. In this paper, we propose new called "Gauss based auxiliary filter" that introduces real-time observation information into importance probability density function. During resampling step, particles are redistributed using Gaussian transformation weights after adjusted. The simulation results...
A new adaptive filtering method based on curve model is proposed to solve the problem of large positioning error caused by mismatch between maneuvering target modeling and actual motion. The in paper abandons traditional which estimates turn rate according direction angle calculates tangential acceleration interpolation acceleration. takes both as state variables, expanding vector, improves estimation accuracy acceleration, alleviates computational burden two-layer filter structure....