Research on Synthetic Aperture Radar 2 D Imaging Based on Compressed Sensing
LI BingJie
LI Xuwei
YAN Long
Abstract：By the use of the principle of compressed sensing (CS)theory which is based on the sparsity or compressibility of signals,a new sparse representation for azimuth is proposed through the analysis of syn-thetic aperture radar echo signal.On this basis,a SAR echo signal processing method is obtained and a 2D SAR imaging algorithm which achieve a fire??new data collection and coding of signal is established.The use of this algorithm not only suppresses the side lobe effectively but also enhances the resolution of imaging target to a certain extent,and simultaneously needs less amounts of data for imaging,which provides an efficient path of decreasing the data rate of high resolution synthetic aperture radar.The feasibility and va-lidity of the method proposed in this paper are tested through processing both simulated data and real radar data.
Keywords：synthetic aperture radar2D imagingcompressed sensingazimuth compression
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 37-41 )