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Fast Factorized Backprojection
Algorithm for UWB Bistatic
SAR Image Reconstruction
Viet Vu, Thomas Sjögren and Mats Pettersson
Blekinge Institute of Technology, Karlskrona, Sweden.
Outline
• Motivation
• Contribution
• Development from GBP to BiFFBP
   – From monostatic GBP to bistatic GBP
   – Bistatic FBP development on bistatic GBP
   – From bistatic FBP to bistatic FFBP
• Simulation Results and Evaluation
• Conclusion
Motivation
• Algorithms for NB bistatic SAR
   – Frequency-domain: Range Doppler (RD), Range
     Migration (RM), Chirp Scaling (CS).
   – Time-domain: Global Backprojection applied to
     bistatic cases (BiGBP).
• Algorithms for UWB monostatic SAR
   – Frequency-domain: not recommended [1].
   – Time-domain: GBP, Fast Backprojection (FBP), Fast
     Factorized Backprojection (FFBP).
  [1] V. T. Vu et. al., “A comparison between fast factorized backprojection and
  frequency-domain algorithms in UWB low frequency SAR,” in Proc. IEEE
  IGARSS’2008, Boston, MA, Jul. 2008, pp. 1293–1296.
Motivation (cont.)
• Algorithms for UWB bistatic SAR
   – BiGBP:
        • Avaibilable in principal.
        • Require huge computational burden.
   – BiFBP:
        • Shown to work with UWB bistatic SAR data [2].
        • Require low computational cost.
   – BiFFBP:
        • Need to be investigated.
        • Supposed to require even lower computational cost.

  [2] V. T. Vu et. al., “Fast backprojection algorithm for UWB bistatic SAR,” in Proc.
  IEEE RadarCon’2011, Kansas City, MO, May 2011, pp. 431-434.
Contribution
• BiFFBP, a fast time-domain algorithm
  – Aim at UWB bistatic SAR systems but available for
    NB bistatic SAR systems.
  – Inherit time-domain characteristics such as unlimited
    scene size, local processing, motion compensation
    and so on.
  – Tested with different bistatic configurations and
    shown to be not limited by any bistatic configuration.
  – Low computational cost.
From GBP to BiGBP
• GBP
  – Reconstructed either on a slant-range plane or ground
    plane.
  – Time-domain characteristics.
  – Spherical mapping.
  – Huge computational burden.
                      ti
                  


                   g v        t , c  R dt
                      2
  hxm , rn              pl
                      ti
                  
                      2
From GBP to BiGBP (cont.)
• BiGBP
  –   Reconstructed only on a ground plane.
  –   Time-domain chracteristics.
  –   Ellipsoidal mapping.
  –   No limitation of bistatic configuration.
  –   Also huge computational burden.
                      ti
                  
                      2
  hxm , rn      g v t , v t , c  R dt
                           t   r
                      ti
                  
                      2
BiFBP Development on BiGBP
• BiFBP
  –   Reconstructed only on a ground plane.
  –   Time-domain chracteristics.
  –   Ellipsoidal mapping.
  –   No limitation of bistatic configuration.
  –   Two processing stages:
       • Beam forming.
       • Local backprojection
  – Low computational cost.
BiFBP Development on BiGBP (cont.)
• Beam forming from radar echoes
  – Linear superpositions of radar echoes.
  – References for superposition are centers of
             • Transmitter subaperture
             • Receiver subaperture
             • Subimage.
  bvt tl , vr tl , c  Rl ,k 
             ts
      tl 
             2
        g v t , v t , c  R dt
             ts
                  t l   r l        l ,k
      tl 
             2
BiFBP Development on BiGBP (cont.)
• Local backprojection from formed beam
     – Over elipsoidal mapping.
     – Foci determined by centers of subapertures.
     – Major axis defined by line connecting foci.
                                             
                L
hxm , yn    b vt tl , vr tl , R  Rlc,k
               l 1
From BiFBP to BiFFBP
• BiFFBP
  –   Reconstructed only on a ground plane.
  –   Time-domain chracteristics.
  –   Ellipsoidal mapping.
  –   No limitation of bistatic configuration.
  –   More than two processing stages:
       •   Firtst beam forming.
       •   ...
       •   Final beam forming
       •   Local backprojection
  – Lower computational cost than BiFBP.
From BiFBP to BiFFBP (cont.)
• Beam forming from beam previously formed
        – Linear superpositions of beam formed in previous
          stage. Reconstructed only on a ground plane.
        – References for superposition are centers of
                 • New (longer) transmitter subaperture
                 • New (longer) receiver subaperture
                 • New (smaller) subimage.

                                         
b2 tl1 ,   Rl1 ,k1  Rlc ,k2  Rlc1,k1 
                          1         1

          L1
     l2

                                                    
          L2

         b1 tl1 ,   Rl1 ,k1  Rlc ,k2  Rlc1,k1
                 L1
                                    1         1

l1 1 l2 1
                 L2
From BiFBP to BiFFBP (cont.)
• Mathematical expression for BiFFBP with two
  beam forming stages
                                  K2                         L1
                             k1                         l2
               K1                 K1          L2             L2
h  xm , y n                              
              k1 1                      K 2 l2 1               L
                      k 2 1  k1 1             l1 1 l2 1 1
                                         K1                      L2
                        ts
                 tl 

                                                                                      
                        2

                       g vt tl , vr tl , c  Rl1 ,k1  Rlc1,k2  Rlc1,k1  R  Rlc22,k2 dt
                                                           1         1
                        ts
                 tl 
                        2
Simulations and Evaluation
• Simulation parameters
        Parameter            CARABAS-II         LORA
                              (transmitter)   (receiver)
  The maximum frequency          82 MHz
  The minimum frequency          22 MHz
     Platform speed ������������������       126 m/s       130 m/s
       Aperture step            0.9375 m      0.9673 m
      Aperture length            3840 m        3950 m
       Flight altitude           3700 m        2900 m
    Minimum range ������0            5900 m        3000 m
            PRF                  137 Hz
       Bistatic angle           00/00/600
Simulations and Evaluation (cont.)
• Simulated ground scene
  –   Series of point-like scaterers.
  –   Equally spaced.
  –   The same radar cross sections (RCS).
  –   No noise added.
Simulations and Evaluation (cont.)
• Considered bisatic configurations
   – Quasi-monostatic: transmitter and receiver are
     mounted on a single platform.
   – Azimuth-invariant: transmitter and receiver are
     mounted on two different platforms whose flight
     tracks are parallel.
   – General bistatic: transmitter and receiver are mounted
     on two different platforms whose flight tracks are
     arbitrary, e.g. 600.
Simulations and Evaluation (cont.)
• Quasi-monostatic:
  – Work.
  – Similar monostatic
Simulations and Evaluation (cont.)
• Azimuth-invariant:
  – Work.
  – Beter resolution.
Simulations and Evaluation (cont.)
• General bistatic:
   – Work.
   – Familiar features
Simulations and Evaluation (cont.)
• Compared to BiGBP
Simulations and Evaluation (cont.)
• Comparison between BiGBP and




  – Phase error due to approximations in BiFFBP is
    observed.
Phase Error Calculation
• Phase error equation [3]
   – Calculate the phase error generated by approximations
     in BiFFBP.
   – Select subimage and subaperture size.
   – Minimize phase error.




  [3] V. T. Vu et. al., “Phase error calculation for fast time-domain bistatic SAR
  algorithms,” in Proc. IEEE Trans. Aerosp. Electron. Syst., submitted for publication.
Conclusion
• Propose an algorithm BiFFBP.
• Derive BiFFBP analytically.
• Test BiFFBP with simulated UWB bistatic SAR
  data.
• Test BiFFBP with different bistatic configurations.
• Compare with BiGBP.
Thanks for your attention!

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Fast Factorized Backprojection Algorithm for UWB Bistatic.pdf

  • 1. Fast Factorized Backprojection Algorithm for UWB Bistatic SAR Image Reconstruction Viet Vu, Thomas Sjögren and Mats Pettersson Blekinge Institute of Technology, Karlskrona, Sweden.
  • 2. Outline • Motivation • Contribution • Development from GBP to BiFFBP – From monostatic GBP to bistatic GBP – Bistatic FBP development on bistatic GBP – From bistatic FBP to bistatic FFBP • Simulation Results and Evaluation • Conclusion
  • 3. Motivation • Algorithms for NB bistatic SAR – Frequency-domain: Range Doppler (RD), Range Migration (RM), Chirp Scaling (CS). – Time-domain: Global Backprojection applied to bistatic cases (BiGBP). • Algorithms for UWB monostatic SAR – Frequency-domain: not recommended [1]. – Time-domain: GBP, Fast Backprojection (FBP), Fast Factorized Backprojection (FFBP). [1] V. T. Vu et. al., “A comparison between fast factorized backprojection and frequency-domain algorithms in UWB low frequency SAR,” in Proc. IEEE IGARSS’2008, Boston, MA, Jul. 2008, pp. 1293–1296.
  • 4. Motivation (cont.) • Algorithms for UWB bistatic SAR – BiGBP: • Avaibilable in principal. • Require huge computational burden. – BiFBP: • Shown to work with UWB bistatic SAR data [2]. • Require low computational cost. – BiFFBP: • Need to be investigated. • Supposed to require even lower computational cost. [2] V. T. Vu et. al., “Fast backprojection algorithm for UWB bistatic SAR,” in Proc. IEEE RadarCon’2011, Kansas City, MO, May 2011, pp. 431-434.
  • 5. Contribution • BiFFBP, a fast time-domain algorithm – Aim at UWB bistatic SAR systems but available for NB bistatic SAR systems. – Inherit time-domain characteristics such as unlimited scene size, local processing, motion compensation and so on. – Tested with different bistatic configurations and shown to be not limited by any bistatic configuration. – Low computational cost.
  • 6. From GBP to BiGBP • GBP – Reconstructed either on a slant-range plane or ground plane. – Time-domain characteristics. – Spherical mapping. – Huge computational burden. ti   g v t , c  R dt 2 hxm , rn   pl ti  2
  • 7. From GBP to BiGBP (cont.) • BiGBP – Reconstructed only on a ground plane. – Time-domain chracteristics. – Ellipsoidal mapping. – No limitation of bistatic configuration. – Also huge computational burden. ti  2 hxm , rn    g v t , v t , c  R dt t r ti  2
  • 8. BiFBP Development on BiGBP • BiFBP – Reconstructed only on a ground plane. – Time-domain chracteristics. – Ellipsoidal mapping. – No limitation of bistatic configuration. – Two processing stages: • Beam forming. • Local backprojection – Low computational cost.
  • 9. BiFBP Development on BiGBP (cont.) • Beam forming from radar echoes – Linear superpositions of radar echoes. – References for superposition are centers of • Transmitter subaperture • Receiver subaperture • Subimage. bvt tl , vr tl , c  Rl ,k  ts tl  2   g v t , v t , c  R dt ts t l r l l ,k tl  2
  • 10. BiFBP Development on BiGBP (cont.) • Local backprojection from formed beam – Over elipsoidal mapping. – Foci determined by centers of subapertures. – Major axis defined by line connecting foci.   L hxm , yn    b vt tl , vr tl , R  Rlc,k l 1
  • 11. From BiFBP to BiFFBP • BiFFBP – Reconstructed only on a ground plane. – Time-domain chracteristics. – Ellipsoidal mapping. – No limitation of bistatic configuration. – More than two processing stages: • Firtst beam forming. • ... • Final beam forming • Local backprojection – Lower computational cost than BiFBP.
  • 12. From BiFBP to BiFFBP (cont.) • Beam forming from beam previously formed – Linear superpositions of beam formed in previous stage. Reconstructed only on a ground plane. – References for superposition are centers of • New (longer) transmitter subaperture • New (longer) receiver subaperture • New (smaller) subimage.   b2 tl1 ,   Rl1 ,k1  Rlc ,k2  Rlc1,k1  1 1 L1 l2    L2  b1 tl1 ,   Rl1 ,k1  Rlc ,k2  Rlc1,k1 L1 1 1 l1 1 l2 1 L2
  • 13. From BiFBP to BiFFBP (cont.) • Mathematical expression for BiFFBP with two beam forming stages K2 L1 k1 l2 K1 K1 L2 L2 h  xm , y n       k1 1 K 2 l2 1 L k 2 1  k1 1 l1 1 l2 1 1 K1 L2 ts tl    2  g vt tl , vr tl , c  Rl1 ,k1  Rlc1,k2  Rlc1,k1  R  Rlc22,k2 dt 1 1 ts tl  2
  • 14. Simulations and Evaluation • Simulation parameters Parameter CARABAS-II LORA (transmitter) (receiver) The maximum frequency 82 MHz The minimum frequency 22 MHz Platform speed ������������������ 126 m/s 130 m/s Aperture step 0.9375 m 0.9673 m Aperture length 3840 m 3950 m Flight altitude 3700 m 2900 m Minimum range ������0 5900 m 3000 m PRF 137 Hz Bistatic angle 00/00/600
  • 15. Simulations and Evaluation (cont.) • Simulated ground scene – Series of point-like scaterers. – Equally spaced. – The same radar cross sections (RCS). – No noise added.
  • 16. Simulations and Evaluation (cont.) • Considered bisatic configurations – Quasi-monostatic: transmitter and receiver are mounted on a single platform. – Azimuth-invariant: transmitter and receiver are mounted on two different platforms whose flight tracks are parallel. – General bistatic: transmitter and receiver are mounted on two different platforms whose flight tracks are arbitrary, e.g. 600.
  • 17. Simulations and Evaluation (cont.) • Quasi-monostatic: – Work. – Similar monostatic
  • 18. Simulations and Evaluation (cont.) • Azimuth-invariant: – Work. – Beter resolution.
  • 19. Simulations and Evaluation (cont.) • General bistatic: – Work. – Familiar features
  • 20. Simulations and Evaluation (cont.) • Compared to BiGBP
  • 21. Simulations and Evaluation (cont.) • Comparison between BiGBP and – Phase error due to approximations in BiFFBP is observed.
  • 22. Phase Error Calculation • Phase error equation [3] – Calculate the phase error generated by approximations in BiFFBP. – Select subimage and subaperture size. – Minimize phase error. [3] V. T. Vu et. al., “Phase error calculation for fast time-domain bistatic SAR algorithms,” in Proc. IEEE Trans. Aerosp. Electron. Syst., submitted for publication.
  • 23. Conclusion • Propose an algorithm BiFFBP. • Derive BiFFBP analytically. • Test BiFFBP with simulated UWB bistatic SAR data. • Test BiFFBP with different bistatic configurations. • Compare with BiGBP.
  • 24. Thanks for your attention!