1 citations · 2 across the 6 of their papers we have counts for
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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…
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…
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…