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A Modified SSA Function for Real-Time Sound Source Localization

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Journal of Vibration Engineering & Technologies Aims and scope Submit manuscript

Abstract

Purpose

The accuracy of real-time sound source localization is an important issue in acoustics. The steered sample algorithm (SSA), an algorithm developed based on the reciprocity of wave propagation, has a higher spatial resolution than the steered response power – phase transform (SRP-PHAT) algorithm. The algorithm can also render an accurate sound source localization under limited array elements and low signal-to-noise ratio. However, the actual implementation of the algorithm is usually based on an expensive grid search process, which makes the computational cost a serious problem.

Methods

An improved implementing algorithm based on beetle swarm optimization (BSO) is proposed for SSA, which can effectively reduce the computational cost. The modified algorithm has a good convergence speed as the SSA algorithm has fewer local extremums.

Results

Experimental results demonstrate that compared with steered sample algorithm (SSA), the proposed algorithm has almost the same localization performance and robustness with lower computational cost.

Conclusion

This paper proposes an improved algorithm about SSA algorithm. Compared with SRC algorithm, the amount of computation is reduced more than twice. Meanwhile, the proposed algorithm inherits the anti-noise performance of SSA. Under the condition of low SNR, the positioning success rate and RMSE performance are excellent. Under the condition of high reverberation, the improved algorithm needs more particles to ensure the positioning performance. When the number of particles is not less than 70, the localization success rate of the proposed algorithm is highly consistent with the conventional SSA, and the RMSE is slightly less than the conventional SSA. Compared with SRC algorithm, the proposed algorithm better inherits the robustness of original SSA and improves the positioning accuracy.

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Data availability

The data used to support the findings of this study are available from the corresponding author upon request.

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Acknowledgements

This work is supported by the Hubei Key Research and Development Program of China (2022BAA099)

Funding

This study was supported by Hubei Key Research and Development Program of China (2022BAA099).

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Authors and Affiliations

  1. Key Laboratory of High Performance Ship Technology, Wuhan University of Technology, Wuhan, Hubei, China

    Linke Zhang

  2. School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan, Hubei, China

    Linke Zhang, Chang Liu, Xiaohui Song & Li Xia

  3. State Key Laboratory of Silicate Materials for Architectures, Wuhan University of Technology, Wuhan, Hubei, China

    Yongsheng Yu

Authors
  1. Linke Zhang
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  2. Chang Liu
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  3. Xiaohui Song
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  4. Li Xia
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  5. Yongsheng Yu
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Corresponding author

Correspondence to Yongsheng Yu.

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Cite this article

Zhang, L., Liu, C., Song, X. et al. A Modified SSA Function for Real-Time Sound Source Localization. J. Vib. Eng. Technol. (2023). https://doi.org/10.1007/s42417-023-01168-0

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  • DOI: https://doi.org/10.1007/s42417-023-01168-0

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