Dec 24, 2012 · This paper derives the imaging geometry and signal model for radar imaging of space targets from sparse subbands. Next, it introduces and ...
Abstract—To achieve finer range resolution without increasing the bandwidth and sampling rate of the radar system, high- resolution imaging by data ...
Bibliographic details on Sparse Subband Imaging of Space Targets in High-Speed Motion.
Readers: Everyone. Sparse Subband Imaging of Space Targets in High-Speed Motion ... High-Resolution Sparse Subband Imaging Based on Bayesian Learning With ...
PDF | This study focuses on sparse subband fusion imaging. A method based on high-precision parameter estimation of geometrical theory of diffraction.
Qi Wang's research works | Xidian University and other places
www.researchgate.net › Qi-Wang-13666...
Qi Wang's 10 research works with 292 citations, including: Sparse Subband Imaging of Space Targets in High-Speed Motion.
High-resolution sparse subband imaging based on Bayesian learning with hierarchical priors. ... Sparse subband imaging of space targets in high-speed motion. IEEE ...
Apr 1, 2014 · This study focuses on sparse subband fusion imaging. A method based on high-precision parameter estimation of geometrical theory of ...
Abstract—From the theory of compressive sensing (CS), we know that the exact recovery of an unknown sparse signal can be achieved from limited measurements ...
High-resolution sparse subband imaging based on Bayesian learning with hierarchical priors. ... Sparse subband imaging of space targets in high-speed motion. IEEE ...