2019_programme: AN ESTIMATION ALGORITHM OF DOA FOR VECTOR SENSOR ARRAY BASED ON TENSOR THEORY

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  • Session: 22. Vector Hydrophone Research
    Organiser(s): Yang Desen
  • Lecture: AN ESTIMATION ALGORITHM OF DOA FOR VECTOR SENSOR ARRAY BASED ON TENSOR THEORY
    Paper ID: 795
    Author(s): Li Song, Chen Zhe, Yang Desen
    Presenter: Li Song
    Presentation type: oral
    Abstract: In order to solve the problem that direction of arrival estimate performance of traditional direction of arrival (DOA) estimation algorithm in the case of low signal to noise ratio is degradation. In this paper, a DOA estimation algorithm based on tensor decomposition for vector hydrophone array signals is proposed. The tensor analysis model is introduced to establish the tensor model of the vector hydrophone array signal, the signal subspace is derived by tensor decomposition, which combines the traditional DOA estimation algorithm to estimate the sound source. The DOA estimation algorithm based on tensor decomposition for vector hydrophone array signals in the noise suppression and Signal subspace estimation superior than the traditional DOA estimation algorithm. In simulation, the proposed algorithm is compared with the traditional DOA estimation algorithm, and the results show the effectiveness of the proposed algorithm．
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  • Corresponding author: Mr Li Song
    Affiliation: Harbin Engineering University
    Country: China
    e-mail:

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