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Open AccessArticle

Robust Space Time Adaptive Processing Methods for Synthetic Aperture Radar

1
School of Electronic Science and Engineering, Nanjing University, Nanjing 210023, China
2
Nanjing Research Institute of Electronics Technology, Nanjing 210039, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(10), 3609; https://doi.org/10.3390/app10103609
Received: 21 March 2020 / Revised: 16 May 2020 / Accepted: 20 May 2020 / Published: 22 May 2020
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
This paper proposes two modified space time adaptive processing (STAP) methods based on piecewise sub-apertures and data constraints for non-stationary interference cancellation in synthetic aperture radar (SAR) applications. In these methods, the entire synthetic aperture time is divided into several sub-apertures so that the interference can be considered as stationary in each sub-aperture. At the same time, the consistency of the echo phase in the slow time domain is preserved by the data constraint to ensure the null depth of the antenna pattern for non-stationary interference cancellation and the performance of azimuth focusing in SAR. The proposed algorithms are validated through the model simulation and measured data. View Full-Text
Keywords: synthetic aperture radar (SAR); space time adaptive processing (STAP); generalized sidelobe canceller (GSC); interference cancellation synthetic aperture radar (SAR); space time adaptive processing (STAP); generalized sidelobe canceller (GSC); interference cancellation
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MDPI and ACS Style

Shen, S.; Tang, L.; Nie, X.; Bai, Y.; Zhang, X.; Li, P. Robust Space Time Adaptive Processing Methods for Synthetic Aperture Radar. Appl. Sci. 2020, 10, 3609.

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