openBURST: Real-time air surveillance simulation and analysis for active and passive sensors
Year: 2024
Type: article
Abstract: openBURST 1 is intended to provide the air surveillance sensor community with a framework for the development and testing of sensor coverage and real-time target detection analysis.openBURST focuses on the overall performance assessment of a sensor network.Besides static coverage diagram computations, openBURST facilitates real-time computation of sensor detections for simulated targets.This allows the statistical performance analysis of air picture generation in a given scenario.By providing a flexible and extendable framework to model and simulate active, passive, monostatic, and multistatic sensors, openBURST provides the implementation of optimization and machine learning approaches for sensor portfolio performance optimization in air surveillance.
DOI: 10.21105/joss.07052
Authors: Zenon Mathews, Romain Chessex
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
Funder: U.S. Department of Defense
OpenAlex ID: W4404817496