Focussing moving objects using the VSAR algorithm

Focussing moving objects using the VSAR algorithm

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Imaging of moving scatterers in a synthetic aperture radar (SAR) image is a challenging problem as targets will both smear and be displaced in azimuth. One technique which overcomes this limitation is the velocity SAR (VSAR) algorithm which was originally proposed by Friedlander and Porat in 1997. This technique provides the full Doppler spectrum at each and every pixel of a SAR image, which then allows for correction of the distortion caused by the radial motion. This chapter describes the signal processing of the VSAR algorithm and presents the first experimental results using both land and airborne multi-channel radar systems developed by the US Naval Research Laboratory (NRL). These examples demonstrate the VSAR correction for a variety of moving backscatter sources, including automobiles, ships, shoaling ocean waves and tidal currents. Two further applications of VSAR are also briefly covered in the chapter. These being the application to target detection and velocity inverse SAR.

Chapter Contents:

  • Abstract
  • 11.1 Introduction
  • 11.2 VSAR processing
  • 11.2.1 Focussing with a moving target
  • 11.2.2 Velocity SAR
  • 11.2.3 VSAR limitations
  • 11.3 Ground-based demonstration with the NRL FOPAIR system
  • 11.3.1 The NRL FOPAIR system
  • 11.3.2 Emulating an MSAR system
  • 11.3.3 VSAR demonstration using FOPAIR
  • 11.4 Airborne demonstration with the NRL MSAR system
  • 11.4.1 NRL MSAR system
  • 11.4.2 Pre-processing
  • 11.4.3 Example dataset 1
  • 11.4.4 Example dataset 2
  • 11.5 Applications of velocity processing
  • 11.5.1 Target detection
  • 11.5.2 Velocity ISAR
  • 11.6 Conclusion
  • Acknowledgements
  • Appendix A: Derivation of Doppler components
  • References

Inspec keywords: airborne radar; synthetic aperture radar; object detection; image motion analysis; radar detection; radar imaging; Doppler radar

Other keywords: target detection; Doppler spectrum; velocity synthetic aperture radar algorithm; land multichannel radar system; VSAR algorithm; airborne multichannel radar system; US Naval Research Laboratory; NRL; signal processing; SAR imaging; velocity inverse SAR; synthetic aperture radar imaging; backscatter source

Subjects: Signal detection; Optical, image and video signal processing; Radar equipment, systems and applications

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