A Gradient-Based Method for Robust Sensor Selection in Hypothesis Testing

This paper considers the binary Gaussian distribution robust hypothesis testing under a Bayesian optimal criterion in the wireless sensor network (WSN). The distribution covariance matrix under each hypothesis is known, while the distribution mean vector under each hypothesis drifts in an ellipsoida...

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Detalles Bibliográficos
Autores principales: Ma, Ting, Qian, Bo, Niu, Dunbiao, Song, Enbin, Shi, Qingjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038412/
https://www.ncbi.nlm.nih.gov/pubmed/32012776
http://dx.doi.org/10.3390/s20030697

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038412/
https://www.ncbi.nlm.nih.gov/pubmed/32012776
http://dx.doi.org/10.3390/s20030697

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