Kurtosis based approach for detection of targets in noise

Beitrag bei einer Tagung
(Konferenzbeitrag)


Details zur Publikation

Autor(en): Schmidt A, Rügheimer C, Particke F, Mahr T, Appel H, Kölle HG
Jahr der Veröffentlichung: 2016
Tagungsband: 2016 17th International Radar Symposium (IRS)
Seitenbereich: 1-3


Abstract


This report proposes a detection method based on using kurtosis and maximum amplitude information, both extracted from the spectral domain. At the end we face a classification problem which is solved by introducing a linear decision boundary. This new method is proved to result into overall good and stable detection results.



FAU-Autoren / FAU-Herausgeber

Particke, Florian
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)


Autor(en) der externen Einrichtung(en)
Technische Hochschule Nürnberg "Georg Simon Ohm"


Zitierweisen

APA:
Schmidt, A., Rügheimer, C., Particke, F., Mahr, T., Appel, H., & Kölle, H.-G. (2016). Kurtosis based approach for detection of targets in noise. In 2016 17th International Radar Symposium (IRS) (pp. 1-3). Krakow.

MLA:
Schmidt, Alexander, et al. "Kurtosis based approach for detection of targets in noise." Proceedings of the Radar Symposium (IRS), 2016 17th International, Krakow 2016. 1-3.

BibTeX: 

Zuletzt aktualisiert 2018-21-10 um 12:20