SPCN-P1.5
BICONVEX OPTIMIZATION FOR TIME-DOMAIN CHANNEL ESTIMATION UNDER DUAL-WIDEBAND FADING CONDITIONS
Evangelos Vlachos, ATHENA Research Center, Greece; George Alexandropoulos, National and Kapodistrian University of Athens, Greece
Session:
SPCN-P1: Estimation and Detection Poster
Track:
SPCN - Signal processing for communications
Location:
Poster Area D
Presentation Time:
Tue, 9 Sep, 14:00 - 15:40 Italy Time (UTC +2)
Session Chair:
Giacomo Bacci,
Presentation
Discussion
Resources
No resources available.
Session SPCN-P1
SPCN-P1.1: Sensing waveforms design for distributed OFDM radars
Xinghe Li, Jinyang He, Hongzhi Guo, Dong Xu, Huiyong Li, Ziyang Cheng, University of Electronic Science and Technology of china, China
SPCN-P1.2: Low-Rank Approximation for ISAC with Constrained Computational Complexity
Luiz Felipe da Silveira Coelho, Federal University of Rio de Janeiro, Brazil; Didier Le Ruyet, National Conservatory of Arts and Crafts, France; Paulo Sergio Ramirez Diniz, Amit Bhaya, Federal University of Rio de Janeiro, Brazil
SPCN-P1.3: Bayesian distance estimation with incoherent multi-frequency two-way phase measurements
Kimmo Kansanen, Jenny Aune Forbord, Johan Suarez, Norwegian University of Science and Technology, Norway
SPCN-P1.4: 5G Vehicle Positioning in Tunnels with Single Anchor TDOA Exploiting Multipath Reflectors
Lorenzo Italiano, Mattia Brambilla, Monica Nicoli, Politecnico di Milano, Italy
SPCN-P1.5: BICONVEX OPTIMIZATION FOR TIME-DOMAIN CHANNEL ESTIMATION UNDER DUAL-WIDEBAND FADING CONDITIONS
Evangelos Vlachos, ATHENA Research Center, Greece; George Alexandropoulos, National and Kapodistrian University of Athens, Greece
SPCN-P1.6: ENHANCING PATHLOSS ESTIMATION WITH VISION TRANSFORMERS AND DIRECT WAVE POWER INTEGRATION
Yuuki Tachioka, Denso IT Laboratory, Japan
SPCN-P1.7: DOMAIN ADAPTATION FOR DEEP LEARNING BASED SIGNAL DETECTION IN THE HIGH FREQUENCY RANGE
Yasin Ciritci, University of Erlangen-Nuremberg; Rohde & Schwarz GmbH & Co. KG, Germany; Ulrike Buhl, Rohde & Schwarz GmbH & Co. KG, Germany; Georg Fischer, University of Erlangen-Nuremberg, Germany
SPCN-P1.8: IMPACT OF DATA SPARSITY ON MACHINE LEARNING FOR FAULT DETECTION IN POWER SYSTEM PROTECTION
Julian Oelhaf, Georg Kordowich, Changhun Kim, Paula Andrea Pérez-Toro, Andreas Maier, Johann Jäger, Siming Bayer, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
SPCN-P1.9: Estimating Channels With Hundreds of Sub-Paths for MU-MIMO Uplink: A Structured High-Rank Tensor Approach
Panqi Chen, Lei Cheng, Zhejiang University, China