Cost-Reference Particle Filter for Cognitive Radar Tracking Systems with Unknown Statistics

A novel robust particle filtering algorithm is proposed for updating both the waveform and noise parameter for tracking accuracy simultaneously and adaptively. The approach is a significant step for cognitive radar towards more robust tracking in random dynamic systems with unknown statistics. Meanw...

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Detalles Bibliográficos
Autores principales: Zhong, Lei, Li, Yong, Cheng, Wei, Zheng, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374445/
https://www.ncbi.nlm.nih.gov/pubmed/32630008
http://dx.doi.org/10.3390/s20133669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374445/
https://www.ncbi.nlm.nih.gov/pubmed/32630008
http://dx.doi.org/10.3390/s20133669

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