Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms
Neural and Evolutionary Computing
2021-03-02 v2 Signal Processing
Abstract
In this paper we consider the problem of finding Pulse Repetition Intervals allowing the best compromises mitigating range and Doppler ambiguities in a Pulsed-Doppler radar system. We revisit a problem that was proposed to the Evolutionary Computation community as a real-world case to test Many-objective Optimization algorithms. We use it as a baseline to compare several Evolutionary Algorithms for black-box optimization with different metrics. Resulting data is aggregated to build a reference set of Pareto optimal points and is the starting point for further analysis and operational use by the radar designer.
Cite
@article{arxiv.2011.06913,
title = {Finding optimal Pulse Repetion Intervals with Many-objective Evolutionary Algorithms},
author = {Paul Dufossé and Cyrille Enderli},
journal= {arXiv preprint arXiv:2011.06913},
year = {2021}
}
Comments
5 pages, 2 tables, 2 figures, submitted to EUSIPCO 2021