Deep learning approach in DOA estimation: A systematic literature review
S Ge, K Li, SNBM Rum - Mobile Information Systems, 2021 - Wiley Online Library
In array signal processing, the direction of arrival (DOA) of the signal source has drawn
broad research interests with its wide applications in fields such as sonar, radar …
broad research interests with its wide applications in fields such as sonar, radar …
Deep transfer learning-based downlink channel prediction for FDD massive MIMO systems
Artificial intelligence (AI) based downlink channel state information (CSI) prediction for
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …
frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems …
Deep learning-aided coherent direction-of-arrival estimation with the FTMR algorithm
K Lee - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
In this work, we apply deep learning to estimate the direction-of-arrival (DoA) of multiple
narrowband signals with a uniform linear array in a coherent environment. First, the …
narrowband signals with a uniform linear array in a coherent environment. First, the …
A machine learning approach to DoA estimation and model order selection for antenna arrays with subarray sampling
A Barthelme, W Utschick - IEEE Transactions on Signal …, 2021 - ieeexplore.ieee.org
In this paper, we study the problem of direction of arrival estimation and model order
selection for systems employing subarray sampling. Thereby, we focus on scenarios, where …
selection for systems employing subarray sampling. Thereby, we focus on scenarios, where …