Quality of service based radar resource management for interference mitigation

TL;DR

This paper extends a radar resource management framework with intelligent interference mitigation, using virtual resources and task adjustments to improve performance in interference-prone environments.

Contribution

It introduces an enhanced Q-RAM framework with adaptive interference handling capabilities for more effective radar resource management.

Findings

Significant performance improvement over traditional strategies

Effective use of virtual time resources and task configurations

Near-optimal solutions in interference conditions

Abstract

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.