NDLI: High resolution imaging on distributed SAR using joint space-time-frequency method

Content Provider	IEEE Xplore Digital Library
Author	Zhao, Bowen Liu, Mei Lu, Xi Li, Chenlei Wang, Pengfei
Copyright Year	2014
Description	Author affiliation: School of Electronic Engineering, Harbin Institute of Technology, 150001, China (Zhao, Bowen; Liu, Mei; Lu, Xi; Li, Chenlei; Wang, Pengfei)
Abstract	Spaceborne distributed SAR is comprised of several satellites flying in constellation stereo geometry, which has advantages in imaging of ground moving targets. Especially in single-transmitter-multiple-receivers (STMR) mode, it can obtain higher resolution than single SAR. Comparing with the complex images of ground static scattering points, the deviation of Doppler center frequency of each moving target leads to differences in relative frequency shift. However, those differences cannot be accurately estimated using conventional interferometric phase technique, which would consequently degrade the performance of the image obtained via spectral synthesis technology. To solve this problem, a novel moving target imaging method via joint space-time-frequency is presented by combining space-time parameter estimation, time domain BP (Back Projection) algorithms and spectral synthesis techniques together. The presented method is testified by analyzing the estimate precision of frequency shift and the resolution of image in computer simulations.
Starting Page	330
Ending Page	335
File Size	1094798
Page Count	6
File Format	PDF
ISBN	9781479921881
ISSN	21645221
e-ISBN	9781479921867
DOI	10.1109/ICOSP.2014.7015023
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Imaging Image resolution Synthetic aperture radar Estimation Azimuth Frequency estimation joint space-time-frequency space-borne distributed SAR high resolution imaging
Content Type	Text
Resource Type	Article

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