Name
Title | ||
|---|---|---|
Efficient Compressed Sensing Method for Moving-Target Imaging by Exploiting the Geometry Information of the Defocused Results |
Abstract | ||
|---|---|---|
Compressed sensing (CS) has been increasingly used in the synthetic aperture radar ground moving-target indication system, particularly for imaging the moving targets, which satisfy the sparse precondition of the CS method. However, efficient moving-target imaging is a key challenge for current CS methods, since the redundant basis brings heavy computation load. In this letter, by exploiting the geometry information of the defocused results, we present an efficient fractional Fourier transform (FRFT) to estimate the Doppler rate and image the moving targets by only two times FRFT rather than time-consuming searching operation. Then, the concept is extended into an efficient CS (ECS) imaging method by two bases consisting of two discrete FRFT matrices rather than the redundant basis. Simulations and real-data process are provided to demonstrate the effectiveness of the ECS method. The proposed ECS method can achieve accurate parameter estimation and imaging performance with low computational complexity. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/LGRS.2014.2349035 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
fourier transforms,remote sensing,motion compensation,synthetic aperture radar (sar) ground moving-target indication (gmti),efficient compressed sensing (cs),geometry information,moving-target imaging,discrete frft matrices,efficient fractional fourier transform (frft),moving target imaging,computational complexity,compressed sensing,geophysical image processing,doppler rate,synthetic aperture radar ground moving target indication system,fractional fourier transform,defocused results,azimuth,doppler effect,synthetic aperture radar,geometry,imaging,estimation,radar imaging | Synthetic aperture radar,Remote sensing,Artificial intelligence,Estimation theory,Geometry,Compressed sensing,Computer vision,Radar imaging,Side looking airborne radar,Inverse synthetic aperture radar,Fractional Fourier transform,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
12 | 3 | 1545-598X |
Citations | PageRank | References |
9 | 0.59 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuepan Zhang | 1 | 86 | 6.57 |
| Guisheng Liao | 2 | 996 | 126.36 |
| Shengqi Zhu | 3 | 353 | 26.46 |
| Dong Yang | 4 | 116 | 18.09 |
| Wentao Du | 5 | 10 | 1.95 |