Paper Info
Title
Precise Focusing of Airborne SAR Data With Wide Apertures Large Trajectory Deviations: A Chirp Modulated Back-Projection Approach
Abstract
In the area of airborne synthetic aperture radar (SAR), motion compensation (MOCO) is a crucial technique employed to correct the SAR data affected by nonlinear platform trajectory during data acquisition. Due to range-azimuth coupling and computational burden consideration, some approximations, which are valid for SAR systems of moderate aperture length, are usually adopted in commonly used MOCO approaches. However, a much more accurate SAR data processing approach is appealing to process the low-frequency SAR systems with large aperture length, such as P-band. In this paper, a new MOCO approach with high precision and high efficiency is proposed. After the ω - κ processing and the range-dependent MOCO, the analytical expression of a 2-D spectrum of a partially focused SAR image is given. Afterward, aperture reduction is achieved by a chirp modulation technique. Finally, with high precision and less computation cost, back projection along the new built short apertures (affected by the residual motion errors) is employed to yield a fairly well-focused SAR image. Experimental results on simulated and actual P-band SAR data are presented to verify the performance of the proposed approach.
Year
DOI
Venue
2015
10.1109/TGRS.2014.2361134
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
p-band sar data,ultrawideband radar,synthetic aperture radar,motion compensation,low-frequency sar system,chirp modulated back-projection approach,approximation theory,partially focused sar imaging,synthetic aperture radar (sar),modulation,analytical 2d spectrum expression,sar data processing approach,wide aperture large trajectory deviation,p-band aperture length,data acquisition,nonlinear platform trajectory,airborne sar data focusing,airborne radar,motion compensation (moco),aperture length moderation,range-azimuth coupling,moco approach,radar imaging,ω-κ processing,azimuth,apertures,trajectory,chirp
Aperture,Computer vision,Radar imaging,Data processing,Synthetic aperture radar,Side looking airborne radar,Remote sensing,Motion compensation,Inverse synthetic aperture radar,Chirp,Artificial intelligence,Mathematics
Journal
Volume
Issue
ISSN
53
5
0196-2892
Citations 
PageRank 
References 
9
0.55
12
Authors
3
Name
Order
Citations
PageRank
Dadi Meng1132.70
Donghui Hu292.24
Chibiao Ding322333.52