Sidelobe suppression of isolated strong scatterers based on extrapolated notch filtering

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Abstract A two-dimensional extrapolated notch filtering method was developed to suppress sidelobes due to isolated strong scatterers in polarimetric synthetic aperture radar (SAR) images and to maintain the statistical and polarization scattering characteristics. A Chirp-Z transform is used for the AR(1) parameter identification with two-dimensional signal extrapolation based on steady-state Kalman prediction theory. The strong scatterer signals are eliminated by filtering the extrapolated signal with a linear-phase equiripple notch filter. The mainlobes of the strong scatterer signals are recovered in the frequency domain and the image amplitude error is accurately compensated in the filtering process. Unlike both spatially variant apodization (SVA) and adaptive sidelobe suppression (ASS), this method preserves the image resolution, the statistics and the polarization scattering characteristics with a simpler procedure. The effectiveness of this method is demonstrated by simulated and real data.

Keywords synthetic aperture radar (SAR) sidelobe suppression signal extrapolation notch filtering

ZTFLH:

TN957.52

Issue Date: 15 May 2015

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	LI Zenghui
	CHANG Wen
	YANG Jian

Cite this article:

LI Zenghui,CHANG Wen,YANG Jian. Sidelobe suppression of isolated strong scatterers based on extrapolated notch filtering[J]. Journal of Tsinghua University(Science and Technology), 2015, 55(5): 503-507.

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http://jst.tsinghuajournals.com/EN/ OR http://jst.tsinghuajournals.com/EN/Y2015/V55/I5/503

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