Referenced Items are not available for this document.
A data extrapolation method is applied to improve the performance of a target recognition scheme based on the central moments of one-dimensional range profiles. We adopt the autoregressive (AR) model to extrapolate the radar cross section data of a target in order to expand the measured data window. It is shown that the resulting high resolution range profiles can enhance target recognition capability, providing a more accurate recognition performance than the multiple signal classification range profile for moderate signal-to-noise ratio SNR ranges. Furthermore, the effects of the AR model-based data extrapolation on target recognition accuracy are carefully analyzed and investigated.
Published in:
Antennas and Propagation, IEEE Transactions on
(Volume:51
,
Issue:
4
)
Date of Publication: April 2003
- Page(s):
- 912 - 914
- ISSN :
- 0018-926X
- INSPEC Accession Number:
- 7681831
- Digital Object Identifier :
- 10.1109/TAP.2003.811104
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 09 July 2003
- Issue Date :
- April 2003
- Sponsored by :
- IEEE Antennas and Propagation Society
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