A5009336312- UAV Applications and Optimization
- Indoor and Outdoor Localization Technologies
- Advanced Wireless Communication Technologies
- Distributed Control Multi-Agent Systems
- Military Defense Systems Analysis
- Wireless Communication Networks Research
- Guidance and Control Systems
- Remote Sensing and LiDAR Applications
- Security in Wireless Sensor Networks
- Advanced Neural Network Applications
- Direction-of-Arrival Estimation Techniques
- Age of Information Optimization
- Advanced MIMO Systems Optimization
- Space Satellite Systems and Control
- Radar Systems and Signal Processing
- Radio Wave Propagation Studies
- Advanced Wireless Communication Techniques
- 3D Shape Modeling and Analysis
Beihang University
2012-2024
Utilizing the unmanned aerial vehicle (UAV) swarm to realize sensing and communication for ground vehicles (GVs) has been envisioned as a promising technology in harsh environments. Previous research vehicular networks ignored or assumed perfect elimination of Doppler, resulting unstable impractical dynamic system models. However, Doppler is essential multidimensional sensing, especially velocity estimation, but it may lead loss signal-to-noise ratio (SNR) communication. In this case,...
Utilizing the unmanned aerial vehicle (UAV) swarm to realize location awareness of ground users (GUs) is a promising technology in green Internet Things (IoT) systems. However, typical UAV-based positioning system frequently applied dense urban areas, where traditional satellite systems are severely impaired. Due co-frequency interference and inevitable defect limited resources anchors, UAVs ability resource utilization suffer serious challenges. In this article, we propose novel ranging...
When carrier-based aircraft is launching from the carrier, random factors, such as carrier motion, wind perturbation, time and others, will affect security of aircraft. Take motion for case, statistical characteristics about indexes under indeterminate studied. Using Monte-Carlo stochastic simulation theory, data samples generated by sampling state database. Based on carrier/aircraft multi-agent system model, carried out with sample data, which indicating are solved, including: maximal...
Communication and positioning, the two pillars of mobile communication systems, are currently being integrated together. The development technologies is driving force positioning progress. In turn, location information provided by improves performance in various ways. However, competition these functions terms resource allocation a critical issue hindering their integration. this article, we investigate trade-off for data-assisted multiple-input multiple-output orthogonal frequency division...
With the growing demand of fusion communication and localization functionalities, integrated (ILAC) techniques have drawn significant research interests. In this paper, we focus on waveform design in orthogonal frequency division multiplexing (OFDM) systems to improve performance both localization. A dual-functional system where base station transmits downlink signals communicate with multiple users as well provide service simultaneously is established. The metrics are theoretically...
Integrated sensing and communication (ISAC) technology based on space-based unmanned platform has recently been recognized as an indispensable functionality for the upcoming Sixth Generation (6G) wireless networks. However, in harsh environments such isolated mountains, age of information (AoI) sensing-communication service aerial vehicles (UAVs), still seriously affects system performance. In this paper, we focus AoI-optimal trajectory planning problem UAV ISAC particular, take geometry...
Real traffic is complex and changeable scenes. How to accurately recognize targets in road scenes has always been one of the challenging problems environmental perception. Lidar widely used vehicle environment sensing because it ability high precision ranging. To alleviate influence point cloud disorder target recognition, most existing methods directly use a pooling strategy dimensional- feature set obtain local neighborhood features from cloud, which makes difficult learn global structure...