Wireless Orientation in the Presence of Mutual Couplings

Hao Wang, Bin Zhang, Changzhi Li, Lixin Ran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Conventional microwave orientation methods based on the array antenna require high element isolation in most cases. In our work, a neural network-based microwave orientation method is proposed to avoid the interferences caused by the mutual couplings between elements. An end-to-end orientation prototype with a strongly coupled array, phase detectors and a non-distortion CMOS video camera is designed and the real-time target source location can be determined by the back-propagation neural network (BPNN) based on the information of phase differences. Simulation and experimental results verify the effectiveness of the proposed orientation method.

Original languageEnglish
Title of host publicationRWW 2020 - 2020 IEEE Radio and Wireless Symposium
PublisherIEEE Computer Society
Number of pages3
ISBN (Electronic)9781728111209
StatePublished - Jan 2020
Event2020 IEEE Radio and Wireless Symposium, RWW 2020 - San Antonio, United States
Duration: Jan 26 2020Jan 29 2020

Publication series

NameIEEE Radio and Wireless Symposium, RWS
ISSN (Print)2164-2958
ISSN (Electronic)2164-2974


Conference2020 IEEE Radio and Wireless Symposium, RWW 2020
Country/TerritoryUnited States
CitySan Antonio


  • Cameras
  • Mutual coupling
  • Neural networks.
  • Phase detection
  • RF signals


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