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Generalized Nonlinear Chirp Scaling Algorithm for High-Resolution Highly Squint SAR Imaging.

Tianzhu Yi1, Zhihua He2, Feng He3

  • 1School of Electronic Science and Engineering, National University of Defense Technology, Sanyi Avenue, Changsha 410073, China. yitianzhu95@nudt.edu.cn.

Sensors (Basel, Switzerland)
|November 8, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a generalized nonlinear chirp scaling (GNLCS) algorithm to enhance synthetic aperture radar (SAR) data processing. The GNLCS algorithm improves azimuth depth of focusing (ADOF) and precision for high-resolution, highly squint SAR imagery.

Keywords:
azimuth depth of focusing (ADOF)focusing precisiongeneralized nonlinear chirp scaling (GNLCS)linear range walk correction (LRWC)synthetic aperture radar (SAR)

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Synthetic Aperture Radar (SAR) Data Processing

Background:

  • Existing nonlinear chirp scaling (NLCS) algorithms struggle with azimuth variance in frequency modulation rates caused by linear range walk correction (LRWC).
  • These algorithms do not adequately address the azimuth depth of focusing (ADOF) in high-resolution, highly squint synthetic aperture radar (SAR) data.

Purpose of the Study:

  • To present a modified approach for processing high-resolution, highly squint SAR data.
  • To improve the azimuth depth of focusing (ADOF) and overall focusing precision in SAR imagery.

Main Methods:

  • Introduction of the generalized nonlinear chirp scaling (GNLCS) algorithm.
  • Application of the method of series reverse (MSR) within the GNLCS algorithm to enhance ADOF.
  • Incorporation of a high-order processing kernel to eliminate range block processing.

Main Results:

  • The GNLCS algorithm effectively improves the azimuth depth of focusing (ADOF) for high-resolution, highly squint SAR data.
  • Enhanced focusing precision is achieved using the proposed GNLCS algorithm.
  • Simulation results validate the algorithm's capability to enlarge ADOF and improve focusing precision.

Conclusions:

  • The generalized nonlinear chirp scaling (GNLCS) algorithm offers a significant advancement in SAR data processing.
  • This method successfully addresses limitations of previous algorithms regarding ADOF and focusing precision.
  • The GNLCS algorithm is particularly beneficial for high-resolution, highly squint SAR applications.