Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations

The paper presents an application of the Conditionally-Minimax Nonlinear Filtering (CMNF) algorithm to the online estimation of underwater vehicle movement given a combination of sonar and Doppler discrete-time noisy sensor observations. The proposed filter postulates recurrent “prediction–correctio...

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Detalles Bibliográficos
Autores principales: Borisov, Andrey, Bosov, Alexey, Miller, Boris, Miller, Gregory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218886/
https://www.ncbi.nlm.nih.gov/pubmed/32316203
http://dx.doi.org/10.3390/s20082257

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7218886/
https://www.ncbi.nlm.nih.gov/pubmed/32316203
http://dx.doi.org/10.3390/s20082257

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