Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (6): 761-766.DOI: 10.12068/j.issn.1005-3026.2018.06.001

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New Algorithm of DOA Estimation Based on the Twice Reconstruction of Pseudo Data Correlation Matrix

LIU Xiao-zhi, SONG Mu-ye, LI Hong-ru   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2017-01-13 Revised:2017-01-13 Online:2018-06-15 Published:2018-06-22
  • Contact: LIU Xiao-zhi
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Abstract: Due to the problem that the traditional direction of arrival (DOA) estimation algorithm can hardly estimate the weak signal when the strong signal is adjacent and it will fail when the signals are coherent, the covariance matrix was reconstructed by corresponding transformation for the received data matrix of array elements on the basis of theoretical derivation and analysis of traditional estimation algorithms. Then the pseudo data correlative matrix was constructed by rearranging the larger eigenvalues of the reconstructed covariance matrix. Finally combined with the MUSIC spectrum to search spectral peaks, the DOA estimation of strong and weak adjacent coherent signals were finished. By simulation, the results show that the coherence of signals could be eliminated by the proposed algorithm without reducing the array aperture. Whats more, the DOA of strong and weak adjacent signals could be estimated accurately.

Key words: direction of arrival (DOA) estimation, pseudo data correlation matrix, twice reconstruction, strong and weak adjacent signals, decoherence

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