TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Estimation error analysis and compensation of dual Six-Port based DOA detection
 
Options

Estimation error analysis and compensation of dual Six-Port based DOA detection

Publikationstyp
Conference Paper
Date Issued
2014-08
Sprache
English
Author(s)
Vinci, Gabor  
Linz, Sarah  
Kölpin, Alexander  orcid-logo
TORE-URI
http://hdl.handle.net/11420/6664
Start Page
217
End Page
220
Article Number
6905543
Citation
IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC: 6905543 (2014-08)
Contribution to Conference
IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, APWC 2014  
Publisher DOI
10.1109/APWC.2014.6905543
Direction-of-Arrival (DOA) detection finds a large number of applications from security and monitoring purposes to industrial automation. Recently, the Six-Port receiver technique has been succesfully implemented to perform accurate DOA measurements. Furthermore, the dual Six-Port DOA detection approach has been introduced to perform an ambiguity-free detection over a wide DOA range. In this paper a DOA estimation error analysis and compensation technique will be presented for the dual Six-Port DOA detection technique further improving the detection accuracy.
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