4 papers
Multi-Branch DNN and CRLB-Ratio-Weight Fusion for Enhanced DOA Sensing via a Massive HAD MIMO Receiver
Feng Shu, Jiatong Bai, Di Wu +4
As a green MIMO structure, massive HAD is viewed as a potential technology for the future 6G wireless network. For such a structure, it is a challenging task to design a low-co…
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…
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…
Multi-modal Iterative and Deep Fusion Frameworks for Enhanced Passive DOA Sensing via a Green Massive H2AD MIMO Receiver
Jiatong Bai, Minghao Chen, Wankai Tang +4
Most existing DOA estimation methods assume ideal source incident angles with minimal noise. Moreover, directly using pre-estimated angles to calculate weighted coefficients can le…