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电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

卷:
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电信和无线电工程

DOI: 10.1615/TelecomRadEng.v70.i18.50
pages 1659-1672

ROBUST DFT-BASED SIGNAL PROCESSING FOR VEGETATION CLUTTER SUPPRESSION IN GROUND SURVEILLANCE DOPPLER RADARS

A. A. Roenko
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalova Str., Kharkiv, 61070, Ukraine
V. V. Lukin
National Aerospace University (Kharkiv Aviation Institute), 17 Chkalov St., Kharkiv, 61070, Ukraine
A. V. Totsky
National Aerospace University (Kharkiv Aviation Institute), 17, Chkalov St., Kharkiv, 61070, Ukraine
I. Djurovic
University of Montenegro, Cetinsky put bb, 81000, Podgorica, Montenegro
J. T. Astola
Tampere University of Technology, Signal Processing Laboratory, P. O. Box 553, FIN-33101, Tampere, Finland

ABSTRACT

The problem of clutter suppression is considered for estimating short-time Fourier transform of radar backscattered signals. It is shown that the vegetation clutter has non-Gaussian and non- stationary nature. In this case it is reasonable to apply robust processing methods based on the adaptive estimators. The effectiveness of robust DFT approach is studied for solving the task of multicomponent signal filtering is investigated. It is demonstrated that the recently proposed adaptive DFT methods can increase noise suppression rate in comparison to both the standard DFT and median-based robust DFT methods.


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