Effect of AR model-based data extrapolation on target recognition performance
SCIE
SCOPUS
- Title
- Effect of AR model-based data extrapolation on target recognition performance
- Authors
- Kim, KT; Bae, JH; Kim, HT
- Date Issued
- 2003-04
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGI
- Abstract
- 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 range profiles of high resolution 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.
- Keywords
- extrapolation; radar cross sections (RCS); radar signal processing; radar target recognition
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/18463
- DOI
- 10.1109/TAP.2003.811104
- ISSN
- 0018-926X
- Article Type
- Article
- Citation
- IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, vol. 51, no. 4, page. 912 - 914, 2003-04
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- There are no files associated with this item.
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