Phase-coded Radar Waveform Design with Quantum Annealing
Abstract
The Integrated Side Lobe Ratio (ISLR) problem we consider here consists in finding optimal sequences of phase shifts in order to minimize the mean squared cross-correlation side lobes of a transmitted radar signal and a mismatched replica. Currently, ISLR does not seem to be easier than the general polynomial unconstrained binary problem, which is NP-hard. In our work, we aim to take advantage of the exponential scalability of quantum computing to find new optima, by solving the ISLR problem on a quantum annealer. This quantum device is designed to solve quadratic optimization problems with binary variables (QUBO). After proposing suitable formulation for different instances of the ISLR, we discuss the performances and the scalability of our approach on the D-Wave quantum computer. More broadly, our work enlightens the limits and potential of the adiabatic quantum computation for the solving of large instances of combinatorial optimization problems.
Cite
@article{arxiv.2305.17953,
title = {Phase-coded Radar Waveform Design with Quantum Annealing},
author = {Timothe Presles and Cyrille Enderli and Gilles Burel and El Houssain Baghious},
journal= {arXiv preprint arXiv:2305.17953},
year = {2023}
}
Comments
11 pages, 4 figures, 1 table, to be published in IET Radar, Sonar and Navigation