Paper Info
Title
Research on Methods for Narrow-Band Interference Suppression in Synthetic Aperture Radar Data
Abstract
Narrow-band interference (NBI) poses a hindrance to high-quality imaging for synthetic aperture radar (SAR). It is an under-determined single-channel separation problem. In this paper, we addressed the NBI suppression problem by introducing two advanced data-driven nonparametric techniques: 1) the eigen subspace filtering and 2) the independent component analysis (ICA). Both of these two methods utilize the statistical difference between the useful radar echoes and NBI. The interference-contaminated pulse is decomposed into a set of basis signals, from which the bases corresponding to NBI are selected out. Then, the contribution of NBI is excised by filtering out the corresponding interference components. The performances of these advanced methods are compared with the conventional notch filtering method. The experimental results on real datasets show the effectiveness of the proposed methods.
Year
DOI
Venue
2015
10.1109/JSTARS.2015.2431916
Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
Keywords
Field
DocType
Eigen subspace,independent component analysis (ICA),interference suppression,narrow-band interference (NBI),synthetic aperture radar (SAR)
Continuous-wave radar,Radar,Subspace topology,Synthetic aperture radar,Remote sensing,Filter (signal processing),Inverse synthetic aperture radar,Interference (wave propagation),Independent component analysis,Mathematics
Journal
Volume
Issue
ISSN
PP
99
1939-1404
Citations 
PageRank 
References 
3
0.39
11
Authors
2
Name
Order
Citations
PageRank
Feng Zhou12189158.01
Mingliang Tao26810.49