Compressed Sensing Based Near-Field Radar Target Imaging and Localization Employing Normalized Iterative Hard Thresholding

Publikationstyp
Conference Paper
Date Issued
2019-05-09
Sprache
English
Author(s)
Reissland, Torsten  
Lurz, Fabian  
Weigel, Robert  
Kölpin, Alexander  orcid-logo
TORE-URI
http://hdl.handle.net/11420/5585
Article Number
8711811
Citation
IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet: 8711811 (2019-05-09)
Contribution to Conference
IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2019  
Publisher DOI
10.1109/WISNET.2019.8711811
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.
Subjects
compressed sensing
imaging
localization
niht
Radar