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SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation

Dor H. Shmuel
Julian P Merkofer
Guy Revach
Ruud J. G. van Sloun
Nir Shlezinger
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Papers citing "SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation"

2 / 2 papers shown
Title
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
Baptiste Chatelier
José Miguel Mateos-Ramos
Vincent Corlay
Christian Hager
M. Crussiére
H. Wymeersch
Luc Le Magoarou
77
3
0
06 Nov 2024
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Model-based learning for multi-antenna multi-frequency location-to-channel mapping
Baptiste Chatelier
Vincent Corlay
M. Crussiére
Luc Le Magoarou
29
1
0
17 Jun 2024