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2011.08848
Cited By
Deep Networks for Direction-of-Arrival Estimation in Low SNR
IEEE Transactions on Signal Processing (TSP), 2020
17 November 2020
G. Papageorgiou
M. Sellathurai
Yonina C. Eldar
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Papers citing
"Deep Networks for Direction-of-Arrival Estimation in Low SNR"
15 / 15 papers shown
GNSS Jammer Direction Finding in Dynamic Scenarios Using an Inertial-based Multi-Antenna System
International Symposium on Algorithms (ISA), 2025
Lucas Heublein
Thorsten Nowak
Tobias Feigl
Jaspar Pahl
Felix Ott
46
0
0
23 Nov 2025
SABER: Symbolic Regression-based Angle of Arrival and Beam Pattern Estimator
Shih-Kai Chou
Mengran Zhao
Cheng-Nan Hu
Kuang-Chung Chou
Carolina Fortuna
Jernej Hribar
111
1
0
30 Oct 2025
Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization
Lucas Heublein
Christian Wielenberg
Thorsten Nowak
Tobias Feigl
Christopher Mutschler
Felix Ott
244
2
0
09 Jul 2025
Near Field Localization via AI-Aided Subspace Methods
Arad Gast
Luc Le Magoarou
Nir Shlezinger
574
4
0
01 Apr 2025
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Kuan-Lin Chen
Bhaskar D. Rao
233
2
0
16 Mar 2025
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Wenjun Yu
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
363
22
0
24 Jan 2025
Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025
Ruxin Zheng
Shunqiao Sun
Hongshan Liu
Yimin D. Zhang
294
4
0
13 Jan 2025
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
457
9
0
06 Nov 2024
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
IEEE Transactions on Signal Processing (IEEE TSP), 2024
Kuan-Lin Chen
Bhaskar D. Rao
304
5
0
29 Aug 2024
Co-learning-aided Multi-modal-deep-learning Framework of Passive DOA Estimators for a Heterogeneous Hybrid Massive MIMO Receiver
Jiatong Bai
Feng Shu
Qinghe Zheng
Bo Xu
Baihua Shi
Yiwen Chen
Weibin Zhang
Xianpeng Wang
191
5
0
27 Apr 2024
Super-Resolution Radar Imaging with Sparse Arrays Using a Deep Neural Network Trained with Enhanced Virtual Data
IEEE Journal of Microwaves (IEEE J. Microw.), 2023
C. Schuessler
Marcel Hoffmann
Martin Vossiek
144
13
0
16 Jun 2023
A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge
Julian P Merkofer
D. V. D. Sande
S. Amirrajab
Gerhard S. Drenthen
M. Veta
J. Jansen
M. Breeuwer
Ruud J. G. van Sloun
127
0
0
05 Jun 2023
SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2023
Dor H. Shmuel
Julian P Merkofer
Guy Revach
Ruud J. G. van Sloun
Stefano Rini
367
57
0
04 Jun 2023
Fast Cross-Correlation for TDoA Estimation on Small Aperture Microphone Arrays
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
François Grondin
Marc-Antoine Maheux
Jean-Samuel Lauzon
Jonathan Vincent
François Michaud
246
1
0
28 Apr 2022
DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm
IEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2021
Julian P Merkofer
Guy Revach
Stefano Rini
T. Routtenberg
Ruud J. G. van Sloun
410
91
0
22 Sep 2021
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