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

Link:
Autor/in:
Verlag/Körperschaft:
Hamburg University of Technology
Erscheinungsjahr:
2019
Medientyp:
Text
Schlagworte:
  • compressed sensing
  • imaging
  • localization
  • niht
  • Radar
Beschreibung:
  • 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.
Beziehungen:
DOI 10.1109/WISNET.2019.8711811
Quellsystem:
TUHH Open Research

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Quelldatensatz
oai:tore.tuhh.de:11420/5585