Name
Abstract | ||
|---|---|---|
By exploiting the relative motion between the target and the radar, high-resolution images of moving targets can be produced using inverse synthetic aperture radar (ISAR). Recent studies have shown that accurate ISAR images can be obtained using the non-parametric high-resolution Capon and APES spectral estimators. In this paper, we propose a computationally efficient time-updating of the two-dimensional (2-D) Capon and APES spectral estimators using their inherent time-varying displacement structures. Numerical simulations indicate that the proposed implementation offers a significant reduction in computational complexity as compared to other recent implementations. |
Year | Venue | Keywords |
|---|---|---|
2006 | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, Vols 1-13 | radar imaging,digital signal processing,inverse synthetic aperture radar,finite impulse response filter,synthetic aperture radar,numerical simulation,high resolution,covariance matrix,spectral estimation,computational complexity |
Field | DocType | ISSN |
Radar,Computer vision,Radar imaging,Computer science,Synthetic aperture radar,Inverse synthetic aperture radar,Capon,Artificial intelligence,Covariance matrix,Computational complexity theory,Estimator | Conference | 1520-6149 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. R. Alty | 1 | 28 | 6.44 |
| Andreas Jakobsson | 2 | 409 | 43.32 |