Cargando…
Two-Dimensional Augmented State–Space Approach with Applications to Sparse Representation of Radar Signatures
In this work, we focus on sparse representation of two-dimensional (2-D) radar signatures for man-made targets. Based on the damped exponential (DE) model, a 2-D augmented state–space approach (ASSA) is proposed to estimate the parameters of scattering centers on complex man-made targets, i.e., the...
Autores principales: | Wu, Kejiang, Xu, Xiaojian |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864621/ https://www.ncbi.nlm.nih.gov/pubmed/31653113 http://dx.doi.org/10.3390/s19214631 |
Ejemplares similares
-
Sparse representation approaches for the classification of high-dimensional biological data
por: Li, Yifeng, et al.
Publicado: (2013) -
Application of Sparse Representation in Bioinformatics
por: Han, Shuguang, et al.
Publicado: (2021) -
Sparse representations of high dimensional neural data
por: Mody, Sandeep K., et al.
Publicado: (2022) -
Two-Dimensional DOA Estimation for Three-Parallel Nested Subarrays via Sparse Representation
por: Si, Weijian, et al.
Publicado: (2018) -
A Sparse Bayesian Approach for Forward-Looking Superresolution Radar Imaging
por: Zhang, Yin, et al.
Publicado: (2017)