| Title | Computationally Efficient Time-Varying ISAR Imaging |
| Authors | Stephen Alty, Andreas Jakobsson |
| Full-text | Available as PDF, Restricted Access |
| Alternative Location | http://ieeexplore.ieee.org/..., Restricted Access |
| Publication | 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings |
| Year | 2006 |
| Volume | 3 |
| Pages | III-181 - III-184 |
| Document type | Conference paper |
| Conference name | 2006 IEEE International Conference on Acoustics, Speech and Signal Processing |
| Conference Date | 2006-05-14 |
| Conference Location | Toulouse, France |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | IEEE |
| Abstract English | 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 |
| Keywords | APES spectral estimators, time-varying displacement structures, two-dimensional Capon, inverse synthetic aperture radar, time-varying ISAR imaging, computational complexity, |
| ISBN/ISSN/Other | ISSN: 15206149 |
Questions: webmaster
Last update: 2013-04-11
Centre for Mathematical Sciences, Box 118, SE-22100, Lund. Telefon: +46 46-222 00 00 (vx)