Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems

Albert Bodenmüller

2018

Abstract

Military Command and Control Systems have to deal with a wide range of different sensors and sources. Besides traditional information sources like IFF, Tactical Data Links and ESM sensors additional sources like AIS, Blue Force Tracking and GMTI Radar become important sources for target identification and classification. A correct identification is an important prerequisite to prevent fratricide and civilian collateral damages and to complete the Situational Awareness. This paper gives an overview of our solution for the extension of the Bayesian identification process in order to establish a tactical picture for naval but also for air and ground targets. For some sensors and important identification source like Automatic Identification System (AIS), Automatic Target Recognition (ATR) and GMTI Radar our solution approach will be detailed.

Paper Citation

in Harvard Style

Bodenmüller A. (2018). Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems.In Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-284-4, pages 107-114. DOI: 10.5220/0006629401070114

in Bibtex Style

@conference{sensornets18,
author={Albert Bodenmüller},
title={Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems},
booktitle={Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2018},
pages={107-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006629401070114},
isbn={978-989-758-284-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems
SN - 978-989-758-284-4
AU - Bodenmüller A.
PY - 2018
SP - 107
EP - 114
DO - 10.5220/0006629401070114