no code implementations • 15 Aug 2022 • Luca Venturino, Emanuele Grossi, Marco Lops, Jeremy Johnston, Xiaodong Wang
In this work, we exploit the radar clutter (i. e., the ensemble of echoes generated by the terrain and/or the surrounding objects in response to the signal emitted by a radar transmitter) as a carrier signal to enable an ambient backscatter communication from a source (tag) to a destination (reader).
no code implementations • 24 Aug 2021 • Jeremy Johnston, Luca Venturino, Emanuele Grossi, Marco Lops, Xiaodong Wang
In this work we consider a multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system, which senses multiple spatial directions and serves multiple users.
no code implementations • 26 Sep 2020 • Jeremy Johnston, Yinchuan Li, Marco Lops, Xiaodong Wang
Complex ADMM-Net, a complex-valued neural network architecture inspired by the alternating direction method of multipliers (ADMM), is designed for interference removal in super-resolution stepped frequency radar angle-range-doppler imaging.