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Moving target detection in over‐the‐horizon radar using adaptive chirplet transform
Author(s) -
Wang Genyuan,
Xia XiangGen,
Root Benjamin T.,
Chen Victor C.
Publication year - 2003
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/2002rs002621
Subject(s) - clutter , over the horizon radar , computer science , radar , moving target indication , fourier transform , stationary target indication , artificial intelligence , computer vision , radar tracker , constant false alarm rate , algorithm , continuous wave radar , radar imaging , mathematics , telecommunications , mathematical analysis
In over‐the‐horizon radar (OTHR) moving target detection, the signal to clutter ratio (SCR) is low for slow targets near the clutter, such as ships. One method to detect a moving target is to first reject the clutter and improve the SCR before the detection, such as the adaptive Fourier transform developed by Root [1998a, 1998b, 1998c] when a target moves uniformly. When a target does not move uniformly, the Fourier‐based techniques for the target detection including superresolution techniques may not work well. In this paper, we propose an adaptive chirplet transform technique in the Doppler processing in OTHR as an alternative of the Fourier transform technique when a target moves nonuniformly.