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High resolution SAR imaging using random pulse timing Dehong Liu IGARSS’ 2011  Vancouver, CANADA Joint work with  Petros Boufounos.
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object]
Overview of SAR
Synthetic Aperture Radar (SAR) Ground Range v azimuth azimuth Reflection duration depends on range length.
Strip-map SAR: uniform pulsing Ground azimuth Range azimuth v
Data acquisition and image formation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SAR imaging resolution ,[object Object],[object Object],[object Object],[object Object],[object Object],azimuth Range
Trade-off for uniform pulse timing ,[object Object],[object Object],[object Object],[object Object],Low azimuth resolution, large range. High azimuth resolution, small range. High azimuth resolution, large range ? T Reflection T Reflection T Reflection T Reflection T Reflection overlapping missing T Reflection T T Reflection Reflection
Ground coverage at high PRF ,[object Object],[object Object],[object Object],[object Object],azimuth range
Compressive sensing and random pulse timing
Compressive sensing vs. Nyquist sampling ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Compressive sensing and reconstruction ,[object Object],[object Object],[object Object],[object Object],[object Object],measurements sparse signal Non-zeroes Φ measurements sparse signal Φ
Connection between CS and SAR imaging Question: Can we apply compressive sensing to SAR imaging?  SAR imaging CS ,[object Object],Data acquisition Random projection measurements y Radar echo CS measurements x  Ground reflectivity Sparse signal    Acquisition function determined by SAR parameters Random projection matrix x | y ,      Image formation Sparse signal reconstruction
Random pulse timing Randomized pulsing interval azimuth range Randomized timing  mixes missing data
Iterative reconstruction algorithm
Iterative reconstruction algorithm Note: Fast computation of     and     H  always speeds up the algorithm.
Efficient computation   Azimuth FFT Chirp Scaling (differential RCMC) Range FFT Bulk RCMC, RC, SRC Range IFFT F r F a S -1 F r -1 P a H F a -1 Azimuth Compression/ Phase Correction Azimuth IFFT Chirp Scaling Algorithm Computation of    follows reverse path Computation as efficient as CSA y P r H B -1 R -1
Imaging results with synthetic data
Experiment w/ synthetic data ,[object Object],[object Object],[object Object],[object Object]
Radar  Image Radar  Raw Data Ground Classic Pulsing low PRF Random Pulsing high PRF + missing data Image with low azimuth resolution Image with high azimuth resolution Radar data acquisition Forward process Standard Algorithm Iterative Algorithm Simulated Ground Reflectivity (high-resolution)
Zoom-in imaging results True Ground Reflectivity Uniform pulsing, Small PRF, Small Doppler Bandwidth Random pulsing, High PRF, Large Doppler Bandwidth
Zoom-in imaging results True Ground Reflectivity Uniform pulsing, Small PRF, Small Doppler Bandwidth Random pulsing, High PRF, Large Doppler Bandwidth
Conclusion and future work
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],Future work

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4-IGARSS_2011_v4.ppt

  • 1. High resolution SAR imaging using random pulse timing Dehong Liu IGARSS’ 2011 Vancouver, CANADA Joint work with Petros Boufounos.
  • 2.
  • 4. Synthetic Aperture Radar (SAR) Ground Range v azimuth azimuth Reflection duration depends on range length.
  • 5. Strip-map SAR: uniform pulsing Ground azimuth Range azimuth v
  • 6.
  • 7.
  • 8.
  • 9.
  • 10. Compressive sensing and random pulse timing
  • 11.
  • 12.
  • 13.
  • 14. Random pulse timing Randomized pulsing interval azimuth range Randomized timing mixes missing data
  • 16. Iterative reconstruction algorithm Note: Fast computation of  and  H always speeds up the algorithm.
  • 17. Efficient computation  Azimuth FFT Chirp Scaling (differential RCMC) Range FFT Bulk RCMC, RC, SRC Range IFFT F r F a S -1 F r -1 P a H F a -1 Azimuth Compression/ Phase Correction Azimuth IFFT Chirp Scaling Algorithm Computation of  follows reverse path Computation as efficient as CSA y P r H B -1 R -1
  • 18. Imaging results with synthetic data
  • 19.
  • 20. Radar Image Radar Raw Data Ground Classic Pulsing low PRF Random Pulsing high PRF + missing data Image with low azimuth resolution Image with high azimuth resolution Radar data acquisition Forward process Standard Algorithm Iterative Algorithm Simulated Ground Reflectivity (high-resolution)
  • 21. Zoom-in imaging results True Ground Reflectivity Uniform pulsing, Small PRF, Small Doppler Bandwidth Random pulsing, High PRF, Large Doppler Bandwidth
  • 22. Zoom-in imaging results True Ground Reflectivity Uniform pulsing, Small PRF, Small Doppler Bandwidth Random pulsing, High PRF, Large Doppler Bandwidth
  • 24.

Editor's Notes

  1. IGARSS'2011
  2. IGARSS'2011
  3. IGARSS'2011
  4. IGARSS'2011
  5. IGARSS'2011
  6. IGARSS'2011
  7. IGARSS'2011
  8. IGARSS'2011
  9. IGARSS'2011