Journal of Systems Engineering and Electronics ›› 2012, Vol. 34 ›› Issue (11): 2203-2207.doi: 10.3969/j.issn.1001-506X.2012.11.03

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Narrowband polynomial phase signal direction of arrival estimation method based on LPFT-MUSIC

LI Xin-bo1, SHI Yao-wu1, SHI Yi-ran1, ZHAO Yang1, ZHANG Han2   

  1. 1. School of Communication Engineering, Jilin University, Changchun 130025, China; 
    2. School of Physics, Jilin University, Changchun 130023, China
  • Online:2012-11-20 Published:2010-01-03

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Abstract:

Based on local polynomial Fourier transform (LPFT), a novel efficient narrow-band polynomial phase signal direction of arrival estimation algorithm is presented. Although LPFT is more complex than the Wigner-Ville distribution, it estimates the instantaneous frequency (IF) of signals more accurately, with lower cross-term effects and the ability to deal with polynomial phase signals. Theoretical analysis shows that the signal to noise improved ratio of the method is better than traditional time-frequency multiple signal classification (MUSIC) method based on Wigner-Ville distribution. Simulation results verify the performance of the method.

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