Paper Info
Title
Experimental results and analysis of sparse microwave imaging from spaceborne radar raw data
Abstract
Sparse microwave imaging is a novel radar framework aiming to bring revolutions to the microwave imaging according to the theory of sparse signal processing.As compressive sensing(CS)is introduced to synthetic aperture radar(SAR)imaging in recent years,the current SAR sparse imaging methods have shown their advantages over the traditional matched filtering methods.However,the requirement for these methods to process the compressed range data results in the increase of the hardware complexity.So the SAR sparse imaging method that directly uses the raw data is needed.This paper describes the method of SAR sparse imaging with raw data directly,presents the analysis of the signal-to-noise ratio(SNR)in the echo signal by combining the traditional radar equation with the compressive sensing theory,and provides the tests on 2-D simulated SAR data.The simulation results demonstrate the validity of the SNR analysis,and the good performance of the proposed method while a large percentage of the raw data is dropped.An experiment with RadarSat-1 raw data is also carried out to show the feasibility of processing the real SAR data via the method proposed in this paper.Our method is helpful for designing new SAR systems.
Year
DOI
Venue
2012
10.1007/s11432-012-4634-3
SCIENCE CHINA Information Sciences
Keywords
Field
DocType
sparse microwave imaging,signalto-noise ratio,compressive sensing,raw data,synthetic aperture radar(sar)imaging
Radar,Signal processing,Computer vision,Synthetic aperture radar,Signal-to-noise ratio,Filter (signal processing),Inverse synthetic aperture radar,Microwave imaging,Artificial intelligence,Mathematics,Compressed sensing
Journal
Volume
Issue
ISSN
55
8
1869-1919
Citations 
PageRank 
References 
3
0.65
12
Authors
5
Name
Order
Citations
PageRank
chenglong jiang1223.98
bingchen zhang211017.19
zhe zhang361.10
Wen Hong435549.85
Yirong Wu539646.55