Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver

no code implementations • 27 Apr 2024 • Jiatong Bai, Feng Shu, Qinghe Zheng, Bo Xu, Baihua Shi, YiWen Chen, Weibin Zhang, Xianpeng Wang

To satisfy the three properties, a novel heterogeneous hybrid MIMO receiver structure of integrating FD and heterogeneous HAD ($\rm{H}^2$AD-FD) is proposed and corresponding multi-modal (MD)-learning framework is developed.

A New Heterogeneous Hybrid Massive MIMO Receiver with An Intrinsic Ability of Removing Phase Ambiguity of DOA Estimation via Machine Learning

no code implementations • 16 Aug 2023 • Feng Shu, Baihua Shi, YiWen Chen, Jiatong Bai, YiFan Li, Tingting Liu, Zhu Han

To address this problem, a new heterogeneous sub-connected hybrid analog and digital (HAD) MIMO structure is proposed with an intrinsic ability of removing phase ambiguity and a corresponding new framework is developed to implement a rapid high-precision DOA estimation using only single time-slot.

Clustering