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A Novel Sidelobe Reduction Algorithm Based on Two-Dimensional Sidelobe Correction Using D-SVA for Squint SAR Images.

Min Liu1, Zhou Li2, Lu Liu3

  • 1Qian Xuesen Laboratory of Space Technology, Beijing 100094, China. liumin@qxslab.cn.

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|March 8, 2018
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Summary

This study introduces a new Double Spatially Variant Apodization (D-SVA) algorithm for Synthetic Aperture Radar (SAR) images. D-SVA effectively reduces sidelobes in squint SAR, improving image quality and reliability.

Keywords:
double spatially variant apodization (D-SVA)impulse responsenon-integer Nyquist sampled imagerysidelobe reductionsquint SAR

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Radar Imaging

Background:

  • Sidelobe reduction is crucial for Synthetic Aperture Radar (SAR) image quality.
  • Existing methods are effective for broadside SAR but struggle with squint SAR due to range-azimuth coupling.
  • Highly squint SAR offers mobility and flexibility, making it a research focus.

Purpose of the Study:

  • To address the challenge of sidelobe reduction in squint SAR images.
  • To improve upon existing Spatially Variant Apodization (SVA) filters for optimal sidelobe suppression.
  • To introduce a novel algorithm for enhanced sidelobe reduction in squint SAR.

Main Methods:

  • Development of a Double Spatially Variant Apodization (D-SVA) algorithm.
  • Application of D-SVA to address range-azimuth coupling in squint SAR echo signals.
  • Comparative analysis of D-SVA performance against broadside SAR imaging.

Main Results:

  • The proposed D-SVA algorithm achieves satisfactory sidelobe reduction in squint SAR images.
  • Demonstrated superior performance compared to traditional methods for squint SAR.
  • Simulation results confirm the reliability and efficiency of the D-SVA method.

Conclusions:

  • D-SVA offers a significant improvement for sidelobe suppression in squint SAR.
  • The algorithm effectively mitigates issues arising from range-azimuth coupling.
  • D-SVA is a reliable and efficient technique for enhancing squint SAR image quality.