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Proceedings/Recueil Des Communications Année : 2023

Towards Improved Sonar Performance Using Environment-Informed Sparse Sub-Array Processing

Résumé

In underwater acoustics, environmental fluctuations can lead to a loss of coherence in sonar arrays. Among the various approaches that can be considered to mitigate their effects, sub-array processing is a popular and intuitive one. However, it naturally results in sub-optimal performance. In this paper, we propose to enhance the approach in two ways. A first improvement is made by linking the parameters of the approach to those of the environment through a canonical correlation analysis. This leads in particular to an environment-informed calibration of the sub-arrays. A second improvement, more classical, is considered by using a sparse regularization on each sub-array processing. We show on real data the relevance of these choices and discuss the perspectives they open.
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Dates et versions

hal-04286470 , version 1 (15-11-2023)

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Citer

Alexandre L’her, Angélique Drémeau, Florent Le Courtois, Gaultier Real, Xavier Cristol, et al.. Towards Improved Sonar Performance Using Environment-Informed Sparse Sub-Array Processing. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, pp.1-5, 2023, ⟨10.1109/ICASSP49357.2023.10094900⟩. ⟨hal-04286470⟩
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