Research on DOA estimation of nonstationary signal based on fractional Fourier transform

Yunchao Zhu, Kunde Yang, Hui Li, Feiyun Wu, Qiulong Yang, Runze Xue

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

1 Scopus citations

Abstract

—In this paper, to estimate the DOA of nonstationary linear frequency modulation(LFM) signal in practical underwater environment, a method of DOA estimation based on fractional Fourier transform (FrFT) is investigated. Firstly, the transformation characteristics of FrFT on LFM signal are investigated. Secondly, the DOA estimation method based on FrFT is performed by following the thread of DOA estimation of narrowband signal, and the effect of focus performance of LFM signal in fractional Fourier (FrF) domain on DOA estimation is obtained through numerical simulations, which benefits the practical application of the method in underwater environment. Finally, an active detection experiment of DOA estimation by FrFT is conducted, which demonstrate that the method has a lower detection threshold and wider detection filed range compared with those in frequency domain.

Original languageEnglish
Title of host publication2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538616543
DOIs
StatePublished - 4 Dec 2018
Event2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018 - Kobe, Japan
Duration: 28 May 201831 May 2018

Publication series

Name2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018

Conference

Conference2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Country/TerritoryJapan
CityKobe
Period28/05/1831/05/18

Keywords

  • DOA estimation
  • Fractional Fourier transform
  • Nonstationary signal
  • Underwater acoustic

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