Login
- Author(s):
- Bamler, Richard; Zhu, Xiao Xiang
- Title:
- A {Bound} for {Super}-{Resolution} {Power} of {Compressive} {Sensing} {Imaging} {Systems}
- Abstract:
- Compressive Sensing (CS) has proven a robust and high resolution method for Synthetic Aperture Radar Tomography (TomoSAR) from space. For the typical satellite orbit configurations, resolution is a crucial aspect. This paper quantifies the super-resolution power of CS, i.e. the minimum separable distance between two point scatterers, as a function of SNR, number of measurements N, and amplitude ratio of the scatterers for the typical low SNR and low N cases of TomoSAR.
- Keywords:
- SAR Signal Processing
- Congress (additional information):
- 00000
- Publisher address:
- Darmstadt, Germany
- Year:
- 2011
- Month:
- may
BibTeX