A Fast Space-Time Adaptive Processing Algorithm Based on Sparse Bayesian Learning for Airborne Radar

Space-time adaptive processing (STAP) plays an essential role in clutter suppression and moving target detection in airborne radar systems. The main difficulty is that independent and identically distributed (i.i.d) training samples may not be sufficient to guarantee the performance in the heterogen...

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Detalles Bibliográficos
Autores principales: Liu, Cheng, Wang, Tong, Zhang, Shuguang, Ren, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003390/
https://www.ncbi.nlm.nih.gov/pubmed/35408278
http://dx.doi.org/10.3390/s22072664

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003390/
https://www.ncbi.nlm.nih.gov/pubmed/35408278
http://dx.doi.org/10.3390/s22072664

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