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Julia Vinogradova Equi
Julia Vinogradova Equi
Ericsson Research
Verified email at ericsson.com
Title
Cited by
Cited by
Year
Statistical inference in large antenna arrays under unknown noise pattern
J Vinogradova, R Couillet, W Hachem
IEEE Transactions on Signal Processing 61 (22), 5633-5645, 2013
532013
Detection and mitigation of jamming attacks in massive MIMO systems using random matrix theory
J Vinogradova, E Björnson, EG Larsson
2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016
442016
On the separability of signal and interference-plus-noise subspaces in blind pilot decontamination
J Vinogradova, E Björnson, EG Larsson
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
302016
Estimation of Toeplitz covariance matrices in large dimensional regime with application to source detection
J Vinogradova, R Couillet, W Hachem
IEEE Transactions on Signal Processing 63 (18), 4903-4913, 2015
262015
5G new radio for automotive, rail, and air transport
G Fodor, J Vinogradova, P Hammarberg, KK Nagalapur, ZT Qi, H Do, ...
IEEE Communications Magazine 59 (7), 22-28, 2021
252021
Jamming massive MIMO using massive MIMO: Asymptotic separability results
J Vinogradova, E Björnson, EG Larsson
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
152017
Architecture, Protocols, and Algorithms for Location-Aware Services in Beyond 5G Networks
P Hammarberg, J Vinogradova, G Fodor, R Shreevastav, S Dwivedi, ...
IEEE Communications Standards Magazine 6 (4), 88 - 95, 2022
52022
Vehicular Positioning and Tracking in Multipath Non-Line-of-Sight Channels
Z Ye, J Vinogradova, G Fodor, P Hammarberg
VTC 2022, 2022
52022
A new method for source detection, power estimation, and localization in large sensor networks under noise with unknown statistics
J Vinogradova, R Couillet, W Hachem
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
52013
Machine Learning Based NLOS Radio Positioning in Beamforming Networks
R Klus, J Talvitie, J Vinogradova, J Torsner, M Valkama
2022 IEEE 23rd International Workshop on Signal Processing Advances in …, 2022
42022
Subspace-based semiblind channel estimation method for fast fading orthogonally coded MIMO-OFDM systems
J Vinogradova, N Sarmadi, M Pesavento
2011 4th IEEE International Workshop on Computational Advances in Multi …, 2011
32011
On Estimating the Autoregressive Coefficients of Time-Varying Fading Channels
J Vinogradova, G Fodor, P Hammarberg
VTC 2022, 2022
22022
Joint Multistatic Sensing of Transmitter and Target in OFDM-Based JCAS System
C Mollén, G Fodor, R Baldemair, J Huschke, J Vinogradova
2023 Joint European Conference on Networks and Communications & 6G Summit …, 2023
12023
Joint communication and sensing beamforming for passive object localization
MU Baig, J Vinogradova, G Fodor, C Mollen
WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th …, 2023
12023
Random matrices and application to detection and estimation in array processing
J Vinogradova
Institut Mines-Télécom, Télécom ParisTech, CNRS LTCI, 2014
12014
Positioning-triggered interface selection
G Fodor, J Vinogradova, P Hammarberg
US Patent App. 18/019,344, 2023
2023
On Target Detection in the Presence of Clutter in Joint Communication and Sensing Cellular Networks
J Vinogradova, G Fodor
2023 16th International Conference on Signal Processing and Communication …, 2023
2023
Estimation of large toeplitz covariance matrices and application to source detection
J Vinogradova, R Couillet, W Hachem
2014 22nd European Signal Processing Conference (EUSIPCO), 2120-2124, 2014
2014
Nouvelle méthode de détection de sources, d'estimation de puissances et de localisation dans un système de communication sans fil avec des statistiques de bruit inconnues
J Vinogradova, R Couillet, W Hachem
GRETSI, 2013
2013
Ralf Tönjes Michael Tüxen Pedro Vieira
L Qiao, A Rajasekaran, L Ros, K Ruttik, T Saba, H Sharif, BS Silva, ...
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