Paper: | SPTM-L8.5 |
Session: | Time-Frequency Distributions and Radar |
Time: | Friday, May 19, 11:20 - 11:40 |
Presentation: |
Lecture
|
Topic: |
Signal Processing Theory and Methods: Non-stationary Signals and Time-Frequency Analysis |
Title: |
Computationally Efficient Time-Varying ISAR Imaging |
Authors: |
Stephen Alty, King's College London, United Kingdom; Andreas Jakobsson, Karlstad University, Sweden |
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. |