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Volume 21 Issue 1
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2013  >  21(1): 025-29
WANG Xu-hu, CHEN Jian-feng, AN Qin-li. Optimum Linear Fusion for DOA Estimation with Vector Hydrophone Array[J]. Journal of Unmanned Undersea Systems, 2013, 21(1): 025-29. doi: 10.11993/j.issn.1673-1948.2013.01.006
Citation: WANG Xu-hu, CHEN Jian-feng, AN Qin-li. Optimum Linear Fusion for DOA Estimation with Vector Hydrophone Array[J]. Journal of Unmanned Undersea Systems, 2013, 21(1): 025-29. doi: 10.11993/j.issn.1673-1948.2013.01.006
shu

Optimum Linear Fusion for DOA Estimation with Vector Hydrophone Array

doi: 10.11993/j.issn.1673-1948.2013.01.006
  • 1.

    College of Marine Engineering, Northwestern Polytechnical University, Xi′an 710072, China

  • 2.

    College of Physics and Engineering, Qufu Normal University, Qufu 273165, China

  • Received Date: 2012-05-17
  • Rev Recd Date: 2012-06-18
  • Publish Date: 2013-02-20
    Abstract
  • To improve the direction of arrival (DOA) estimation performance of a vector hydrophone array, the estima-tion of signal parameters via rotational invariance technique (ESPRIT) of a vector hydrophone array is studied. Based on analysis of vector array ESPRIT, theoretical estimation covariance formulas of vector array ESPRIT method are deduced, which bring about large estimation covariance at certain target bearing. Consequently, an algorithm of optimum linear data fusion for independent DOA estimation is proposed. Simulation results show that the proposed fusion method im-proves the accuracy of DOA estimation via vector hydrophone array with smaller fluctuation of the estimation covari-ance following target bearing.

     

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