Computationally Efficient Time-Varying ISAR Imaging

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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

Details

Authors
External organisations
  • External Organization - Unknown
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics

Keywords

  • APES spectral estimators, time-varying displacement structures, two-dimensional Capon, inverse synthetic aperture radar, time-varying ISAR imaging, computational complexity
Original languageEnglish
Title of host publication2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
PagesIII-181-III-184
Volume3
Publication statusPublished - 2006
Publication categoryResearch
Peer-reviewedYes
Externally publishedYes
EventIEEE International Conference on Acoustics, Speech, and Signal Processing, 2006 - Toulouse, FRANCE, Toulouse , France
Duration: 2006 May 142006 May 19

Publication series

Name
Volume3
ISSN (Print)1520-6149

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing, 2006
Abbreviated titleICASSP 2006
CountryFrance
CityToulouse
Period2006/05/142006/05/19