1 citations · 2 across the 4 of their papers we have counts for
4 papers
Deep Learning Based DOA Estimation for Hybrid Massive MIMO Receive Array with Overlapped Subarrays
Yifan Li, Baihua Shi, Feng Shu +2
To improve the accuracy of direction-of-arrival (DOA) estimation, a deep learning (DL)-based method called CDAE-DNN is proposed for hybrid analog and digital (HAD) massive MIMO rec…
Rapid Phase Ambiguity Elimination Methods for DOA Estimator via Hybrid Massive MIMO Receive Array
Xichao Zhan, Yiwen Chen, Feng Shu +5
For a sub-connected hybrid multiple-input multiple-output (MIMO) receiver with subarrays and antennas, there exists a challenging problem of how to rapidly remove phase amb…
High-performance Passive Eigen-model-based Detectors of Single Emitter Using Massive MIMO Receivers
Qijuan Jie, Xichao Zhan, Feng Shu +4
For a passive direction of arrival (DoA) measurement system using massive multiple input multiple output (MIMO), it is mandatory to infer whether the emitter exists or not before p…
Enhanced RSS-based UAV Localization via Trajectory and Multi-base Stations
Yifan Li, Feng Shu, Baihua Shi +3
To improve the localization precision of unmanned aerial vehicle (UAV), a novel framework is established by jointly utilizing multiple measurements of received signal strength (RSS…