3 papers
eess.SP2024
DNN-based Enhanced DOA Sensing via Massive MIMO Receiver with Switches-based Hybrid Architecture
Yifan Li, Kang Wei, Linqiong Jia +4
Switches-based hybrid architecture has attracted much attention, especially in directional-of-arrival (DOA) sensing, due to its ability of significantly reducing the hardware cost…
eess.SP2024
Machine Learning-based Near-field Emitter Location Sensing via Grouped Hybrid Analog and Digital XL-MIMO Receive Array
Jiatong Bai, Yifan Li, Feng Shu +5
As a green MIMO structure, the partially-connected hybrid analog and digital (PC-HAD) structure has been widely used in the far-field (FF) scenario for it can significantly reduce…
eess.SP2023
A Novel Tree Model-based DNN to Achieve a High-Resolution DOA Estimation via Massive MIMO receive array
Yifan Li, Feng Shu, Jun Zou +3
To satisfy the high-resolution requirements of direction-of-arrival (DOA) estimation, conventional deep neural network (DNN)-based methods using grid idea need to significantly inc…