Research on the near field sound source localization method for small snapshots

The performance of standard MVDR algorithm would be decreased sharply when the sampled data is small. In this paper, vector MVDR algorithm and the diagonal loading are proposed to improve the robustness. Firstly, the sample date covariance matrix is whitened to obtain more uniform noise, and then us...

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Bibliographic Details
Published inVibroengineering Procedia Vol. 14; pp. 288 - 293
Main Authors Ji, Qing, Cheng, Jin Fang
Format Journal Article
LanguageEnglish
Published JVE International Ltd 01.10.2017
Subjects
Analysis
Hydrophones
Methods
Sound localization
United States
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Summary:The performance of standard MVDR algorithm would be decreased sharply when the sampled data is small. In this paper, vector MVDR algorithm and the diagonal loading are proposed to improve the robustness. Firstly, the sample date covariance matrix is whitened to obtain more uniform noise, and then use the standard deviation of covariance matrix as the loading amount to complete diagonal loading. Finally, the effectiveness and robustness of the proposed algorithm is verified by simulation. Simulation results reveal that it has higher positioning accuracy with small sample, with the increase of SNR and snapshots, the estimation’s RMSE of target location decreases continuously.
ISSN:2345-0533
2538-8479
DOI:10.21595/vp.2017.19226