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Slant plane CSAR processing using Householder transform.

Jehanzeb Burki1, Christopher F Barnes

  • 1Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Ga 30332, USA. jehanzeb.ahmad@gatech.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|September 12, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient Householder transform method for processing circular synthetic aperture radar (CSAR) data. This technique improves ground plane signal phase history accuracy in circular SAR imaging.

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Area of Science:

  • Geospatial analysis
  • Signal processing
  • Radar imaging

Background:

  • Circular synthetic aperture radar (CSAR) data processing is crucial for high-resolution imaging.
  • Fourier analysis-based focusing is a recent advancement in SAR signal processing.
  • Accurate phase history reconstruction is essential for effective CSAR imaging.

Purpose of the Study:

  • To present a novel method for obtaining ground plane CSAR signal phase history from slant plane data.
  • To leverage the Householder transform for efficient and stable inversion of the CSAR system model.
  • To avoid the computational burden of explicit pseudo-inverse calculations.

Main Methods:

  • Utilized the Householder transform to invert the linear shift-varying system model of CSAR.
  • Processed slant plane CSAR phase history to derive ground plane CSAR signal phase history.
  • Applied Fourier analysis-based focusing techniques.

Main Results:

  • Successfully obtained the ground plane CSAR signal phase history.
  • Demonstrated the computational efficiency of the Householder transform.
  • Showcased the improved error bounds and stability of the Householder transform for solving underdetermined and ill-conditioned systems.

Conclusions:

  • The Householder transform provides an efficient and stable alternative for CSAR phase history reconstruction.
  • This method circumvents the need for computationally expensive pseudo-inverse calculations.
  • The approach enhances the accuracy and feasibility of Fourier analysis-based focusing for circular SAR data.