TELECOMMUNICATIONS AND RADIO ENGINEERING - 2011 Vol. 70,
No 18 		 

 

 

 

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

A.A. Roenko1, V.V. Lukin1, A.V. Totsky1, I. Djurovic2, & J.T. Astola3
1National Aerospace University, Kharkiv, Ukraine
2University of Montenegro, Podgorica, Montenegro
3Tampere University of Technology, Tampere, Finland
Address all correspondence to V.V. Lukin E-mail: lukin@ai.kharkov.com

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.
KEY WORDS: the Doppler radar, robust signal, target identification

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