openBURST: Real-time air surveillance simulation andanalysis for active and passive sensors

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.

Authors

Publication Details

Journal
The Journal of Open Source Software
Published
2024-11-28
DOI
https://doi.org/10.21105/joss.07052
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

openBURST: Real-time air surveillance simulation andanalysis for active and passive sensors

Romain Chessex, Zenon Mathews
The Journal of Open Source Software
Target Tracking and Data Fusion in Sensor Networks
article

openBURST: Real-time air surveillance simulation andanalysis for active and passive sensors

Romain Chessex, Zenon Mathews
article en

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.

The Journal of Open Source SoftwareVol. 9(103)
U.S. Department of Defense
Affordable and clean energy
Openalex Percentile: Top 80%
Target Tracking and Data Fusion in Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.