A New Nonlinear Chirp Scaling Algorithm for High-Squint High-Resolution SAR Imaging

Yan Wang, Jingwen Li, Feng Xu, Jian Yang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

Among high-squint high-resolution (HSHR) synthetic aperture radar imaging algorithms, nonlinear chirp scaling algorithm (NLCSA) and its extensions, such as extended NLCSA (ENLCSA), have a common drawback in that they all neglect the spatial variations of linear range migration (LRM) and Doppler centroid, and thus, only targets in a specific central slant range plane can be strictly focused. In this letter, we show that by using a new NLCSA, targets can be focused in the ground plane under HSHR conditions. Based on a more accurate 2-D spectrum, the new NLCSA outperforms the ENLCSA by introducing a new range-Doppler domain interpolation to correct residual range migration and a new perturbation function to remove the dependence of Doppler phase on azimuth. The coefficients of the new perturbation function are numerically calculated and then smoothed by polynomial fitting. Though the outputs of the numerical calculation are somewhat unstable at the current stage, it has been demonstrated to perform better than the algorithms neglecting the spatial variations of LRM and Doppler centroid, such as the ENLCSA, by point target simulations.

Original languageEnglish
Article number8070442
Pages (from-to)2225-2229
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume14
Issue number12
DOIs
Publication statusPublished - Dec 2017
Externally publishedYes

Keywords

  • High-squint high-resolution (HSHR)
  • new nonlinear chirp scaling algorithm (NLCSA)
  • synthetic aperture radar (SAR) imaging

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