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Found 7 papers, 0 papers with code
Identification of Ghost Targets for Automotive Radar in the Presence of Multipath
Colocated multiple-input multiple-output (MIMO) technology has been widely used in automotive radars as it provides accurate angular estimation of the objects with relatively small number of transmitting and receiving antennas.
Radar-enabled ambient backscatter communications
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).
MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints
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.
Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces
A reconfigurable intelligent surface (RIS) is a nearly-passive flat layer made of inexpensive elements that can add a tunable phase shift to the impinging electromagnetic wave and are controlled by a low-power electronic circuit.
Energy Efficiency Optimization in Radar-Communication Spectrum Sharing
Energy efficiency, possibly coupled with cognition-based and spectrum-sharing architectures, is a key enabling technology for green communications in 5G-and-beyond standards.
Radar Target Detection aided by Reconfigurable Intelligent Surfaces
In this work, we consider the target detection problem in a sensing architecture where the radar is aided by a reconfigurable intelligent surface (RIS), that can be modeled as an array of sub-wavelength small reflective elements capable of imposing a tunable phase shift to the impinging waves and, ultimately, of providing the radar with an additional echo of the target.
ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar
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.
