Contribution to drone detection by exploiting parameter estimation for a prototype mm-wave radar system
Häfner S, Röding M, Sommerkorn G, Müller R, Thomä RS, Del Galdo G, Goerlich J (2018)
Publication Type: Conference contribution
Publication year: 2018
Publisher: VDE Verlag GmbH
Conference Proceedings Title: WSA 2018 - 22nd International ITG Workshop on Smart Antennas
Event location: Bochum, DEU
ISBN: 9783800745418
Abstract
An estimator to infer parameters from radar measurements is presented, applicable for further detection and localisation of unmanned aircraft systems. The problem of parameter estimation is presented as an inverse problem, necessitating a model of the measurement data. Based on the data model, a maximum-likelihood based objective function is derived. The objective function is minimised by a framework similar to the RIMAX framework, including joint parameter and model order estimation. A SIMO radar system is presented and employed to test and demonstrate the estimators capability in simulations as well as test measurements with flying UASs.
Involved external institutions
Germany (DE)
Sweden (SE)How to cite
APA:
Häfner, S., Röding, M., Sommerkorn, G., Müller, R., Thomä, R.S., Del Galdo, G., & Goerlich, J. (2018). Contribution to drone detection by exploiting parameter estimation for a prototype mm-wave radar system. In WSA 2018 - 22nd International ITG Workshop on Smart Antennas. Bochum, DEU: VDE Verlag GmbH.
MLA:
Häfner, Stephan, et al. "Contribution to drone detection by exploiting parameter estimation for a prototype mm-wave radar system." Proceedings of the 22nd International ITG Workshop on Smart Antennas, WSA 2018, Bochum, DEU VDE Verlag GmbH, 2018.
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