From the 1 of 7 linked papers with an AI index.
7 papers
Conditional Generative Learning Enabled Wireless UAV Sensing and Tracking via Point Cloud Imaging
Xinhong Dai, Yuan Gao, Hao Jiang +2
The paper introduces a method that uses a base‑station antenna array to illuminate a UAV and reconstruct its 3‑D electromagnetic point cloud from reflected echoes, employing a cond…
Conditional Diffusion-Based Point Cloud Imaging for UAV Position and Attitude Sensing
Xinhong Dai, Yuan Gao, Hao Jiang +2
This paper studies an unmanned aerial vehicle (UAV) position and attitude sensing problem, where a base station equipped with an antenna array transmits signals to a predetermined…
Continuous Angular Power Spectrum Recovery From Channel Covariance via Chebyshev Polynomials
Shengsong Luo, Ruilin Wu, Chongbin Xu +3
This paper proposes a Chebyshev polynomial expansion framework for the recovery of a continuous angular power spectrum (APS) from channel covariance. By exploiting the orthogonalit…
Affine-Projection Recovery of Continuous Angular Power Spectrum: Geometry and Resolution
Shengsong Luo, Ruilin Wu, Chongbin Xu +3
This paper considers recovering a continuous angular power spectrum (APS) from the channel covariance. Building on the projection-onto-linear-variety (PLV) algorithm, an affine-pro…
Trajectory Design for UAV-Assisted Logistics Collection in Low-Altitude Economy
Zhiyuan Zhai, Yuan Gao, Wei Ni +2
Low-altitude economy (LAE) is rapidly emerging as a key driver of innovation, encompassing economic activities taking place in airspace below 500 meters. Unmanned aerial vehicles (…
Spectral-Convergent Decentralized Machine Learning: Theory and Application in Space Networks
Zhiyuan Zhai, Shuyan Hu, Wei Ni +2
Decentralized machine learning (DML) supports collaborative training in large-scale networks with no central server. It is sensitive to the quality and reliability of inter-device…