Acoustic Source Tracking Based on Probabilistic Data Association and Distributed Cubature Kalman Filtering in Acoustic Sensor Networks

A probabilistic data association-based distributed cubature Kalman filter (PDA-DCKF) method is proposed in this paper, whose performance on tracking single moving sound sources in the distributed acoustic sensor network was verified. In this method, the PDA algorithm is first used to sift the observ...

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Detalles Bibliográficos
Autores principales: Chen, Yang, Cao, Yideng, Wang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570723/
https://www.ncbi.nlm.nih.gov/pubmed/36236254
http://dx.doi.org/10.3390/s22197160

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570723/
https://www.ncbi.nlm.nih.gov/pubmed/36236254
http://dx.doi.org/10.3390/s22197160

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