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Interpolation Methods with Phase Control for Backprojection of Complex-Valued SAR Data.

Yevhen Ivanenko1, Viet T Vu1, Aman Batra2

  • 1Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, 371 79 Karlskrona, Sweden.

Sensors (Basel, Switzerland)
|July 9, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces phase-controlled interpolation for synthetic aperture radar (SAR) imaging, improving scene reconstruction quality. Extended algorithms offer lower computational complexity and memory needs for THz frequency SAR systems.

Keywords:
GBPTHz SARbackprojectioncomplex SAR interpolationcomplex-valued SAR data interpolation

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Area of Science:

  • Remote Sensing
  • Signal Processing
  • Electromagnetics

Background:

  • Time-domain backprojection algorithms are crucial for synthetic aperture radar (SAR) imaging, particularly for motion error compensation.
  • Current interpolation methods in SAR imaging struggle to accurately preserve phase information, impacting the quality of reconstructed scenes.
  • Accurate phase information is essential for determining the precise range distance in SAR imaging.

Purpose of the Study:

  • To introduce phase-controlled extensions of linear, cubic, and sinc interpolation algorithms for complex-valued SAR data.
  • To enhance the accuracy of SAR image reconstruction by correctly incorporating range distance information.
  • To reduce computational complexity and memory requirements for SAR image reconstruction at THz frequencies.

Main Methods:

  • Developed extended interpolation algorithms (linear, cubic, sinc) with phase control using a priori range time.
  • Tested the efficiency of the extended algorithms at the Nyquist rate on simulated and real THz frequency data.
  • Compared the performance of the proposed algorithms against existing interpolation methods, including nearest-neighbor.

Main Results:

  • The extended algorithms successfully controlled the phase of interpolated SAR data, improving scene reconstruction.
  • The proposed phase-controlled interpolation methods demonstrated lower computational complexity compared to nearest-neighbor interpolation.
  • The algorithms showed benefits in terms of smaller memory requirements for SAR image reconstruction at THz frequencies.

Conclusions:

  • Phase-controlled interpolation is essential for accurate SAR image reconstruction, especially at THz frequencies.
  • The extended linear, cubic, and sinc interpolation algorithms offer a more efficient and accurate approach to SAR imaging.
  • These advancements contribute to improved performance and reduced resource demands in SAR systems.