.png){kind=icon}
Return
Focusing Highly Squinted Data Using the Extended Nonlinear Chirp Scaling Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2012.2203785.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The most serious problem in processing highly squinted data is the strong range-Doppler coupling, which can be reduced by the linear range cell migration correction (LRCMC). After the LRCMC, however, targets with different azimuth frequency modulation (FM) rates are moved into the same range cell, blocking the efficient azimuth compression. In this letter, a new algorithm to equalize the FM rates is presented, which is referred to as azimuth extended nonlinear chirp scaling. The key is to derive a new perturbation function to handle the problem while introducing a negligible residual phase. The proposed method outperforms the existing algorithms, particularly in large bandwidth cases. Numerical simulations illustrate the performance of the proposed algorithm.
Keywords:
Frequency modulation (FM)
highly squinted
nonlinear chirp scaling (NLCS)
perturbation function
synthetic aperture radar (SAR)
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}
ShareSaveShareSave
ShareSave no more
no more