1 citations · 2 across the 6 of their papers we have counts for
6 papers
Deep-learning-aided Low-complexity DOA Estimators for Ultra-Massive MIMO Overlapped Receive Array
Yiwen Chen, Xichao Zhan, Feng Shu
Massive multiple input multiple output(MIMO)-based fully-digital receive antenna arrays bring huge amount of complexity to both traditional direction of arrival(DOA) estimation alg…
Two Rapid Power Iterative DOA Estimators for UAV Emitter Using Massive/Ultra-massive Receive Array
Yiwen Chen, Feng Shu, Qijuan Jie +7
To provide rapid direction finding (DF) for unmanned aerial vehicle (UAV) emitter in future wireless networks, a low-complexity direction of arrival (DOA) estimation architecture f…
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…
Two Low-complexity DOA Estimators for Massive/Ultra-massive MIMO Receive Array
Yiwen Chen, Xichao Zhan, Feng Shu +4
Eigen-decomposition-based direction finding methods of using large-scale/ultra-large-scale fully-digital receive antenna arrays lead to a high or ultra-high complexity. To address…
Machine-learning-aided Massive Hybrid Analog and Digital MIMO DOA Estimation for Future Wireless Networks
Feng Shu, Yiwen Chen, Xichao Zhan +7
Due to a high spatial angle resolution and low circuit cost of massive hybrid analog and digital (HAD) multiple-input multiple-output (MIMO), it is viewed as a valuable green commu…
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…