.png){kind=icon}
Return
A New Improved Step Transform Algorithm for Highly Squint SAR Imaging
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2010.2053837.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this letter, a new improved step transform (IST) algorithm is developed for highly squint stripmap synthetic aperture radar (SAR) imaging. Different from the previous step transform algorithms, such as the time-varying step transform algorithm, the new algorithm compensates the cubic phase term and the phase term caused by the varying chirp rate using estimation of the target position focused in the coarse-resolution fast Fourier transform, and these undesirable phase terms can be compensated more appropriately. The algorithm can process SAR imaging under a squint angle of up to 75 degrees in X-band. Simulation results show that the IST algorithm is effective.
Keywords:
Squinted synthetic aperture radar (SAR)
step transform algorithm
subaperture
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
16.4
Papers:
1.0W
Citations:
5.1K
Organization
Cited Papers
.png){kind=icon}
Characterization of lipid bilayer formation in aligned nanoporous aluminum oxide nanotube arrays
OAAI
OAAIShareSave
ShareSave no more
no more