A5000916982- Satellite Communication Systems
- Target Tracking and Data Fusion in Sensor Networks
- Inertial Sensor and Navigation
- Interconnection Networks and Systems
- Indoor and Outdoor Localization Technologies
- Advanced MIMO Systems Optimization
- Software-Defined Networks and 5G
- Underwater Vehicles and Communication Systems
- Robotics and Sensor-Based Localization
- Advanced Wireless Network Optimization
- graph theory and CDMA systems
Huazhong University of Science and Technology
2024-2025
Northwestern Polytechnical University
2023-2025
The emergence of large-scale Low Earth Orbit (LEO) satellite networks presents new opportunities for high-quality video distribution. Leveraging advanced multicast technologies, LEO constellations can efficiently utilize access and backbone network bandwidth, thereby reducing traffic. However, existing research has predominantly focused on within constellations, overlooking the obstacle challenges introduced by failures or link congestion in multilayer networks. This paper proposes a novel...
In long‐range missions based on angle‐of‐arrival positioning, the angle measurement error of unmanned aerial vehicles is a major source error. Therefore, reducing vehicle crucial to achieve accurate remote positioning. this paper, we propose space vector–based method correct vector target for when there are fewer than three available reference points, which in turn corrects angular value relative vehicles. Simulation results show that distance between point and smaller vehicles, azimuth can...
Emerging Low Earth Orbit (LEO) broadband constellations hold significant potential to provide advanced Internet services due inherent geometric features of the grid topology. However, high dynamics, unstable topology changes, and frequent route updates bring challenge fast adaptive routing policies. In addition, since computing, bandwidth, storage resources in each LEO satellite is strictly limited, traffic demands are typically unbalanced, further enlarging scalable policies with load...
The superior performance of factor graphs compared to Kalman filtering in various fields and the use graph algorithms instead moving target localization tasks can reduce error by more than 50%. However, global algorithm may cause computational delays due excessive effort. A based on a combination incremental optimization with improved is proposed improve accuracy ensure that computation time be adapted requirements online location. reference point introduced into calculation process, it...