TY - GEN
T1 - Research on DOA estimation of nonstationary signal based on fractional Fourier transform
AU - Zhu, Yunchao
AU - Yang, Kunde
AU - Li, Hui
AU - Wu, Feiyun
AU - Yang, Qiulong
AU - Xue, Runze
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/4
Y1 - 2018/12/4
N2 - —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.
AB - —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.
KW - DOA estimation
KW - Fractional Fourier transform
KW - Nonstationary signal
KW - Underwater acoustic
UR - http://www.scopus.com/inward/record.url?scp=85060292080&partnerID=8YFLogxK
U2 - 10.1109/OCEANSKOBE.2018.8559388
DO - 10.1109/OCEANSKOBE.2018.8559388
M3 - 会议稿件
AN - SCOPUS:85060292080
T3 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
BT - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans, OCEANS - Kobe 2018
Y2 - 28 May 2018 through 31 May 2018
ER -