3 papers
eess.SP2025
Hybrid Liquid Neural Network-Random Finite Set Filtering for Robust Maneuvering Object Tracking
Minti Liu, Qinghua Guo, Cao Zeng +3
This work addresses the problem of tracking maneuvering objects with complex motion patterns, a task in which conventional methods often struggle due to their reliance on predefine…
cs.IT2024
Neural Network-Assisted Hybrid Model Based Message Passing for Parametric Holographic MIMO Near Field Channel Estimation
Zhengdao Yuan, Yabo Guo, Dawei Gao +5
Holographic multiple-input and multiple-output (HMIMO) is a promising technology with the potential to achieve high energy and spectral efficiencies, enhance system capacity and di…
eess.SP2024
Full-Duplex ISAC-Enabled D2D Underlaid Cellular Networks: Joint Transceiver Beamforming and Power Allocation
Tao Jiang, Ming Jin, Qinghua Guo +2
Integrating device-to-device (D2D) communication into cellular networks can significantly reduce the transmission burden on base stations (BSs). Besides, integrated sensing and com…