Compressed sensing based near-field radar target imaging and localization employing normalized iterative hard thresholding

Reißland T, Lurz F, Weigel R, Kölpin A (2019)

Publication Language: English

Publication Status: Accepted

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2019

Event location: Orlando, FL US

ISBN: 978-1-5386-5953-3

DOI: 10.1109/WISNET.2019.8711811

Abstract

The paper presents an approach for target position recovery from frequency modulated continuous wave (FMCW) radar data. The presented algorithm is, in contrast to many established techniques, able to use snapshots taken from arbitrary positions. The presented technique can be applied to imaging as well as localization applications. The basis of the approach is a compressed sensing based algorithm called normalized iterative hard thresholding (NIHT). To prove its capabilities it is evaluated by simulation over a wide range of signal bandwidths and base frequencies.

Authors with CRIS profile

Torsten Reißland Lehrstuhl für Technische Elektronik (LTE) Fabian Lurz Lehrstuhl für Technische Elektronik (LTE) Robert Weigel Lehrstuhl für Technische Elektronik (LTE) Alexander Kölpin Lehrstuhl für Technische Elektronik (LTE)

How to cite

APA:

Reißland, T., Lurz, F., Weigel, R., & Kölpin, A. (2019). Compressed sensing based near-field radar target imaging and localization employing normalized iterative hard thresholding. In Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet). Orlando, FL, US.

MLA:

Reißland, Torsten, et al. "Compressed sensing based near-field radar target imaging and localization employing normalized iterative hard thresholding." Proceedings of the IEEE Topical Conference on Wireless Sensors and Sensor Networks (WiSNet), Orlando, FL 2019.

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