Kurtosis based approach for detection of targets in noise

Schmidt A, Rügheimer C, Particke F, Mahr T, Appel H, Kölle HG (2016)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2016

Pages Range: 1-3

Conference Proceedings Title: 2016 17th International Radar Symposium (IRS)

Event location: Krakow

DOI: 10.1109/IRS.2016.7497291

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.

Authors with CRIS profile

Florian Particke Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)

Involved external institutions

Technische Hochschule Nürnberg "Georg Simon Ohm" DE Germany (DE)

How to cite

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.

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