1 citations · 2 across the 10 of their papers we have counts for
5 papers · 1 filter
M3F-UAV: A Missing-Modality Multimodal Foundation Model for Low-Altitude Wireless Sensing
Pengxuan Gao, Kai Ying, Botao Wu +2
Low-altitude unmanned aerial vehicles (UAVs) are emerging as key platforms for wireless intelligence tasks. However, practical low-altitude wireless systems usually operate in comp…
LAMBDA: A Low-Altitude Multimodal Base Dataset for UAV Sensing and Communication
Lin Zhou, Peichuan Rao, Chenshuo Zhang +4
Research on low-altitude integrated sensing and communication (ISAC) requires aligned multimodal data that jointly describe wireless propagation, visual appearance, unmanned aerial…
Phase-Time Array Enabled Multistatic Sensing with Multi-Level Fusion for UAV Localization
Ming Gao, Jianhua Mo, Meixia Tao
In multistatic collaborative sensing, existing parameter-level fusion methods suffer from severe error amplification in geometrically unfavorable regions. Conventional receiver arc…
Deep Learning-Based Beamforming Design Using Target Beam Patterns
Hongpu Zhang, Shu Sun, Hangsong Yan +1
This paper proposes a deep learning-based beamforming design framework that directly maps a target beam pattern to optimal beamforming vectors across multiple antenna array archite…
Joint Phase Time Array: Opportunities, Challenges and System Design Considerations
Young-Han Nam, Ahmad AlAmmouri, Jianhua Mo +1
This paper presents a novel approach to designing millimeter-wave (mmWave) cellular communication systems, based on joint phase time array (JPTA) radio frequency (RF) frontend arch…