Robust Bayesian beamforming for sources at different distances with applications in urban monitoring

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Acoustic smart sensor networks can provide valuable actionable intelligence to authorities for managing safety in the urban environment. A spatial filter (beamformer) for localization and separation of acoustic sources is a key component of such a network. However, classical methods such as delay-and-sum beamforming fail, because sources are located at varying distances from the sensor array. This causes a regularization problem where either far-away sources are wrongly attenuated, or noise is wrongly amplified.

We solve this by considering source strength and location as random variables. The posterior distributions are approximated using Gibbs sampling. Each marginal is computed by combining importance sampling and inverse transform sampling using Chebyshev polynomial approximation. This leads to an iterative algorithm with similarities to deconvolution beamforming.

Our method is robust against deviations in manifold model, can deal with sources at different distances and power levels, and does not require an a priori known number of sources.
Originele taal-2Engels
Titel2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's4325-4329
Aantal pagina's5
ISBN van elektronische versie978-1-4799-8131-1
DOI's
StatusGepubliceerd - mei 2019
Evenement2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Brighton Conference Centre, Brighton, Verenigd Koninkrijk
Duur: 12 mei 201917 mei 2019
Congresnummer: 2019
https://2019.ieeeicassp.org/

Congres

Congres2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Verkorte titelICASSP
LandVerenigd Koninkrijk
StadBrighton
Periode12/05/1917/05/19
Internet adres

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Citeer dit

Wijnings, P., Stuijk, S., de Vries, B., & Corporaal, H. (2019). Robust Bayesian beamforming for sources at different distances with applications in urban monitoring. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (blz. 4325-4329). [8682835] Piscataway: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2019.8682835