Name
Title | ||
|---|---|---|
A Novel CS-TSVD Strategy to Perform Data Reduction in Linear Inverse Scattering Problems |
Abstract | ||
|---|---|---|
High-resolution radar imaging systems employ wideband signals and large array apertures, resulting in the generation of large amounts of data. This renders both data acquisition and processing challenging. In this letter, we propose a hybrid approach for a stepped-frequency imaging radar system, which is based on the compressive sensing and novel concepts of microwave tomography, to establish a reduced-redundancy spatial and frequency measurement configuration. The proposed approach provides clear advantages in terms of measurement time and algorithm complexity while maintaining the quality of the scene reconstructions. Laboratory experiments are used to validate the hybrid strategy. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LGRS.2012.2185679 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
compressed sensing,data reduction,microwave imaging,radar imaging,tomography,compressive sensing,data reduction,frequency measurement,high resolution radar imaging,large array aperture,linear inverse scattering problems,microwave tomography,novel CS-TSVD strategy,reduced redundancy spatial measurement,stepped frequency imaging radar system,truncated singular value decomposition inversion,wideband signal,Inverse scattering,microwave tomography,sparse reconstructions,through-the-wall imaging | Iterative reconstruction,Computer vision,Wideband,Radar imaging,Data acquisition,Remote sensing,Microwave imaging,Inverse problem,Artificial intelligence,Compressed sensing,Mathematics,Data reduction | Journal |
Volume | Issue | ISSN |
9 | 5 | 1545-598X |
Citations | PageRank | References |
6 | 0.50 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Raffaele Solimene | 1 | 45 | 2.93 |
| Fauzia Ahmad | 2 | 651 | 64.26 |
| F. Soldovieri | 3 | 164 | 17.72 |