2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing

The sparse frequency band (SFB) signal presents a serious challenge to traditional wideband micro-motion curve extraction algorithms. This paper proposes a novel two-dimension (2-D) joint sparse reconstruction and micro-motion parameter estimation (2D-JSR-MPE) algorithm based on compressive sensing...

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Detalles Bibliográficos
Autores principales: Wei, Jiaqi, Shao, Shuai, Zhang, Lei, Liu, Hongwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472321/
https://www.ncbi.nlm.nih.gov/pubmed/32764445
http://dx.doi.org/10.3390/s20164382

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7472321/
https://www.ncbi.nlm.nih.gov/pubmed/32764445
http://dx.doi.org/10.3390/s20164382

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