A Two-Stage STAP Method Based on Fine Doppler Localization and Sparse Bayesian Learning in the Presence of Arbitrary Array Errors

In the presence of unknown array errors, sparse recovery based space-time adaptive processing (SR-STAP) methods usually directly use the ideal spatial steering vectors without array errors to construct the space-time dictionary; thus, the steering vector mismatch between the dictionary and clutter d...

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Detalles Bibliográficos
Autores principales: Liu, Kun, Wang, Tong, Wu, Jianxin, Chen, Jinming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747692/
https://www.ncbi.nlm.nih.gov/pubmed/35009630
http://dx.doi.org/10.3390/s22010077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8747692/
https://www.ncbi.nlm.nih.gov/pubmed/35009630
http://dx.doi.org/10.3390/s22010077

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