For next-generation vehicle-to-everything (V2X) communications, there has been a growing emerging technology at the intersection of Radar and Communications, namely RadCom. RadCom provides many benefits such as efficient usage of bandwidth, joint detection and estimation, and improved tracking performance for future intelligent transportation. However, there is a limitation in the computation of parameters for large dimensions (antennas, users, or targets). To provide, a computational complexity advantage for the target detection and parameters, we introduce Quantum-assisted Radar Communication systems, namely QRADCOM. In this work, we have proposed algorithms for the multi-target detection hypothesis based on quantum phase estimation (QPE), and also the quantum inversion method for communication signal detection in presence of observation noise, interference and multi-tap wireless channel. We show numerical results and analysis as well for the QRADCOM framework on both classical and IBM-Quantum computers.
QRADCOM: Quantum Assisted Framework for Joint Detection and Estimation in Radar Communications
01.06.2023
1291894 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Mono-static Automotive Joint Radar-Communications System
IEEE | 2019
|A mmWave Automotive Joint Radar-Communications System
IEEE | 2019
|