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Investigation on ULA Fitting Promoting Low Coupling Sparse Arrays

  • Yichang Yao*
  • , Wanlu Shi
  • , Yingsong Li*
  • , Zhixiang Huang
  • , Guohui Yang
  • , Kuang Zhang
  • *Corresponding author for this work
  • Harbin Engineering University
  • Anhui Province Key Laboratory of Target Recognition and Feature Extraction
  • Anhui University
  • School of Electronics and Information Engineering, Harbin Institute of Technology

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

Abstract

A low coupling sparse array (LCSA) is presented, analyzed and discussed on the basis of the recent proposed uniform linear array (ULA) fitting scheme with close-expressions, and its performance with different uniform subarrays in the basic layer is investigated via parameter estimation like direction-of-arrival(DOA). The results gives a superior performance for the presented LCSA.

Original languageEnglish
Title of host publication2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665452366
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022 - Xuzhou, China
Duration: 9 Dec 202212 Dec 2022

Publication series

Name2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022

Conference

Conference2022 International Applied Computational Electromagnetics Society Symposium, ACES-China 2022
Country/TerritoryChina
CityXuzhou
Period9/12/2212/12/22

Keywords

  • Low mutual coupling sparse array
  • uniform linear array fitting

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