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Article

Time-Varying SAR Interference Suppression Based on Delay-Doppler Iterative Decomposition Algorithm

1
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2
School of Electronic Engineering, Xidian University, Xi’an 710071, China
3
School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia
*
Author to whom correspondence should be addressed.
Received: 9 August 2018 / Revised: 9 September 2018 / Accepted: 14 September 2018 / Published: 18 September 2018
(This article belongs to the Special Issue Radio Frequency Interference (RFI) in Microwave Remote Sensing)
Narrow-band interference (NBI) and Wide-band interference (WBI) are critical issues for synthetic aperture radar (SAR), which degrades the imaging quality severely. Since some complex signals can be modeled as linear frequency modulated (LFM) signals within a short time, LFM-WBI and NBI are mainly discussed in this paper. Due to its excellent energy concentration and useful properties (i.e., auto-terms pass through the origin of Delay-Doppler plane while cross-terms are away from it), a novel nonparametric interference suppression method using Delay-Doppler iterative decomposition algorithm is proposed. This algorithm consists of three stages. First, we present signal synthesis method (SSM) from ambiguity function (AF) and cross ambiguity function (CAF) based on the matrix rearrangement and eigenvalue decomposition. Compared with traditional SSM from Wigner distribution (WD), the proposed SSM can synthesize a signal faster and more accurately. Then, based on unique properties in Delay-Doppler domain, a mask algorithm is applied for interference identification and extraction using Radon and its inverse transformation. Finally, a signal iterative decomposition algorithm (IDA) is utilized to subtract the largest interference from the received signal one by one. After that, a well-focused SAR imagery is obtained by conventional imaging methods. The simulation and measured data results demonstrate that the proposed algorithm not only suppresses interference efficiently but also preserves the useful information as much as possible. View Full-Text
Keywords: synthetic aperture radar (SAR); interference suppression; narrowband interference (NBI); wideband interference (WBI); ambiguity function (AF); signal synthesis synthetic aperture radar (SAR); interference suppression; narrowband interference (NBI); wideband interference (WBI); ambiguity function (AF); signal synthesis
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MDPI and ACS Style

Su, J.; Tao, H.; Tao, M.; Xie, J.; Wang, Y.; Wang, L. Time-Varying SAR Interference Suppression Based on Delay-Doppler Iterative Decomposition Algorithm. Remote Sens. 2018, 10, 1491. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10091491

AMA Style

Su J, Tao H, Tao M, Xie J, Wang Y, Wang L. Time-Varying SAR Interference Suppression Based on Delay-Doppler Iterative Decomposition Algorithm. Remote Sensing. 2018; 10(9):1491. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10091491

Chicago/Turabian Style

Su, Jia, Haihong Tao, Mingliang Tao, Jian Xie, Yuexian Wang, and Ling Wang. 2018. "Time-Varying SAR Interference Suppression Based on Delay-Doppler Iterative Decomposition Algorithm" Remote Sensing 10, no. 9: 1491. https://0-doi-org.brum.beds.ac.uk/10.3390/rs10091491

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