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

Unpublished / Preprint


Publication Details

Author(s): Reißland T, Lurz F, Weigel R, Kölpin A
Publication year: 2019
Language: English


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.


FAU Authors / FAU Editors

Lurz, Fabian
Lehrstuhl für Technische Elektronik
Reißland, Torsten
Lehrstuhl für Technische Elektronik
Weigel, Robert Prof. Dr.-Ing.
Lehrstuhl für Technische Elektronik


External institutions
Brandenburgische Technische Universität Cottbus-Senftenberg (BTU)

Last updated on 2019-23-04 at 18:21