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Direction of Arrival Estimation of Coprime Polarization Sensitive Array Based on Time-Frequency Distributions

  • Harbin Institute of Technology Weihai

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

Abstract

In this paper, we use the DOA estimation of time-frequency analysis on coprime polarization sensitive array, which can increase the number of signals estimated by multiple signal classification (MUSIC)algorithm and improve the degree of freedom of array. The polarization information can improve the estimation accuracy and help distinguish the signals with close wave direction. Time-frequency analysis can improve the estimation performance of multiple signal classification (MUSIC) algorithm in the case of low signal to noise ratio (SNR). The feasibility of time-frequency transformation in the coprime polarization sensitive array is proved, and MUSIC algorithm based on time-frequency analysis (P-TFMUSIC) is proposed to enhance the estimation performance of direction of arrival (DOA), and the function of the algorithm is verified by simulation.

Original languageEnglish
Title of host publicationProceedings - 2022 6th International Conference on Imaging, Signal Processing and Communications, ICISPC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages102-105
Number of pages4
ISBN (Electronic)9781665454803
DOIs
StatePublished - 2022
Externally publishedYes
Event6th International Conference on Imaging, Signal Processing and Communications, ICISPC 2022 - Kumamoto, Japan
Duration: 22 Jul 202224 Jul 2022

Publication series

NameProceedings - 2022 6th International Conference on Imaging, Signal Processing and Communications, ICISPC 2022

Conference

Conference6th International Conference on Imaging, Signal Processing and Communications, ICISPC 2022
Country/TerritoryJapan
CityKumamoto
Period22/07/2224/07/22

Keywords

  • coprime array
  • direction of arrival (DOA)
  • polarization sensitive array
  • spatial pseudo Wigner-Ville distribution (SPWVD)

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