TUHH Open Research
Help
New user? Click here to register.Have you forgotten your password?
Communities & Collections
Publications
Research Data
People
Institutions
Projects
  1. Home
  2. Publications
  3. Publication References
  4. Compensation of self-RCS and IQ-demodulation imperfections of continuous-wave radar systems

Compensation of self-RCS and IQ-demodulation imperfections of continuous-wave radar systems

Publikationstyp
Conference Paper
Date Issued
2025-05
Sprache
English
Author(s)
Tegowski, Bartosz
Hochfrequenztechnik E-3
Kölpin, Alexander
Hochfrequenztechnik E-3
TORE-URI
https://hdl.handle.net/11420/56863
Citation
26th International Radar Symposium, IRS 2025
Contribution to Conference
26th International Radar Symposium, IRS 2025
Publisher DOI
10.23919/IRS64527.2025.11046051
Scopus ID
2-s2.0-105010830647
Publisher
IEEE
ISBN of container
979-8-3315-0663-6
978-3-00-079305-9
This contribution discusses the calibration of continuous-wave radar sys-tems used for relative displacement measurements. To address systematic measurement errors arising from receiver inphase-quadrature (IQ) imperfections as well as the own radar cross section of the radar device (self-RCS), a model of the radar response that accounts for both effects is presented. Given the model parameters, which are retrieved based on calibration measurements, the effects of both IQ-imbalance and self-RCS can be removed. Measurements with a custom 24-GHz six-port-based radar system validate the proposed concept enabling highly accurate relative displacement measurements.
DDC Class
600: Technology
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback