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Proceedings Paper

A comparative study of algorithms for radar imaging from gapped data
Author(s): Xiaojian Xu; Ruixue Luan; Li Jia; Ying Huang
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Paper Abstract

In ultra wideband (UWB) radar imagery, there are often cases where the radar's operating bandwidth is interrupted due to various reasons, either periodically or randomly. Such interruption produces phase history data gaps, which in turn result in artifacts in the image if conventional image reconstruction techniques are used. The higher level artifacts severely degrade the radar images. In this work, several novel techniques for artifacts suppression in gapped data imaging were discussed. These include: (1) A maximum entropy based gap filling technique using a modified Burg algorithm (MEBGFT); (2) An alternative iteration deconvolution based on minimum entropy (AIDME) and its modified version, a hybrid max-min entropy procedure; (3) A windowed coherent CLEAN algorithm; and (4) Two-dimensional (2-D) periodically-gapped Capon (PG-Capon) and APES (PG-APES) algorithms. Performance of various techniques is comparatively studied.

Paper Details

Date Published: 26 September 2007
PDF: 12 pages
Proc. SPIE 6712, Unconventional Imaging III, 67120A (26 September 2007); doi: 10.1117/12.733946
Show Author Affiliations
Xiaojian Xu, BeiHang Univ. (China)
Ruixue Luan, BeiHang Univ. (China)
Li Jia, BeiHang Univ. (China)
Ying Huang, BeiHang Univ. (China)

Published in SPIE Proceedings Vol. 6712:
Unconventional Imaging III
Jean J. Dolne; Victor L. Gamiz; Paul S. Idell, Editor(s)

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