Optimizing radar detection parameters using evolutionary algorithms

Rügheimer C, Schmidt A, Particke F, Mahr T, Appel H, Deitersen H (2015)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2015

Pages Range: 694-699

Conference Proceedings Title: 2015 16th International Radar Symposium (IRS)

Event location: Dresden

DOI: 10.1109/IRS.2015.7226316

Abstract

We present a framework for setting the detection parameters of a radar processor by use of evolutionary algorithms. The radar processor consists of a dwell coherent detector processing non-equidistant samples [1]. In order to focus on the framework fundamentals, the detector only provides two detection parameters determining the noise threshold and the post-processing clustering.

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:

Rügheimer, C., Schmidt, A., Particke, F., Mahr, T., Appel, H., & Deitersen, H. (2015). Optimizing radar detection parameters using evolutionary algorithms. In 2015 16th International Radar Symposium (IRS) (pp. 694-699). Dresden.

MLA:

Rügheimer, Christoph, et al. "Optimizing radar detection parameters using evolutionary algorithms." Proceedings of the Radar Symposium (IRS), 2015 16th International, Dresden 2015. 694-699.

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