Path Planning with Uncertainty for Aircraft Under Threat of Detection from Ground-Based Radar

TL;DR

This paper introduces a framework that incorporates uncertainty into aircraft path planning to minimize detection risk by ground-based radar, improving decision-making under uncertain conditions.

Contribution

It presents a novel method for integrating uncertainty analysis into radar detection models within a path planning framework for aircraft.

Findings

Framework effectively evaluates detection risk under uncertainty.

Error budgets identify key sources of detection variability.

Path adjustments reduce detection risk below thresholds.

Abstract

Mission planners for aircraft operating under threat of detection by ground-based radar systems are concerned with the probability of detection. Current path planning methods for such scenarios consider the aircraft pose, radar position, and radar parameters to be deterministic and known. This paper presents a framework for incorporating uncertainty in these quantities into a radar detection model that is used by a path planner. The developed path planner evaluates the radar detection risk in the presence of uncertainties and uses linear covariance analysis to efficiently generate error budgets. The error budgets identify the contribution of each source of uncertainty (e.g., sensor measurement noise, radar position uncertainty) to the overall variability in the probability of detection. The framework is applied to a modified visibility graph path planner that uses the detection risk and its variability to calculate path adjustments, which maintain the detection risk below a specified threshold. The results show that the framework is effective at providing actionable information to the mission planner that improves the final planned path and reduces the detection risk.