5 citations · 8 across the 3 of their papers we have counts for
6 papers
RadChat: Spectrum Sharing for Automotive Radar Interference Mitigation
Canan Aydogdu, Musa Furkan Keskin, Nil Garcia +2
In the automotive sector, both radars and wireless communication are susceptible to interference. However, combining the radar and communication systems, i.e., radio frequency (RF)…
5G mmWave Downlink Vehicular Positioning
Henk Wymeersch, Nil Garcia, Hyowon Kim +4
5G new radio (NR) provides new opportunities for accurate positioning from a single reference station: large bandwidth combined with multiple antennas, at both the base station and…
Radar Communication for Combating Mutual Interference of FMCW Radars
Canan Aydogdu, Nil Garcia, Lars Hammarstrand +1
Commercial automotive radars used today are based on frequency modulated continuous wave signals due to the simple and robust detection method and good accuracy. However, the incre…
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning
Shen Li, Christian Häger, Nil Garcia +1
Machine learning is used to compute achievable information rates (AIRs) for a simplified fiber channel. The approach jointly optimizes the input distribution (constellation shaping…
Implicit Cooperative Positioning in Vehicular Networks
Gloria Soatti, Monica Nicoli, Nil Garcia +3
Absolute positioning of vehicles is based on Global Navigation Satellite Systems (GNSS) combined with on-board sensors and high-resolution maps. In Cooperative Intelligent Transpor…
High Precision TOA-based Direct Localization of Multiple Sources in Multipath
Nil Garcia, Alexander M. Haimovich, Martial Coulon +1
Localization of radio frequency sources over multipath channels is a difficult problem arising in applications such as outdoor or indoor gelocation. Common approaches that combine…