An intelligent radar resource management is an essential building block of any modern radar system. The quality of service based resource allocation model (Q-RAM) provides a framework for profound and quantifiable decision making but lacks the flexibility necessary for optimal mitigation strategies in the presence of interference. We define an extension of the Q-RAM based radar resource management framework with an intelligent interference handling capability using various mitigation methods. The approach incorporates virtual time resources and alternative task configurations to compute near-optimal solutions in the presence of interference. The provided experimental results demonstrate a significant improvement over traditional strategies.
@article{arxiv.2203.05829,
title = {Quality of service based radar resource management for interference mitigation},
author = {Sebastian Durst and Pascal Marquardt and Stefan Brüggenwirth},
journal= {arXiv preprint arXiv:2203.05829},
year = {2022}
}