Fast Factorized Backprojection Algorithm for UWB Bistatic.pdf

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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.

2

2

c,,

i

i

t

t

plnm dtRtvgrxh

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.

2

2

c,,,

i

i

t

t

rtnm dtRtvtvgrxh

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.

2

2

,

,

c,,

c,,

sl

sl

tt

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kllrlt

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Rtvtvb

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

l

c

kllrltnm RRtvtvbyxh1

,,,,

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.

2

12

2

121

1

1121111

1

1121111

11

,,,1

,,,2

,

,

L

Ll

L

Lll

c

kl

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klkll

c

kl

c

klkll

RRRtb

RRRtb

From BiFBP to BiFFBP (cont.)

• Mathematical expression for BiFFBP with two

beam forming stages

dtRRRRRtvtvg

yxh

sl

sl

tt

tt

c

kl

c

kl

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klkllrlt

K

k

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nm

2

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,,,,

111

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22

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11

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2111

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212

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c,,

,

Simulations and Evaluation

Parameter CARABAS-II

(transmitter)

LORA

(receiver)

The maximum frequency 82 MHz

The minimum frequency 22 MHz

Platform speed 𝑣𝑝𝑙 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 𝑟0 5900 m 3000 m

PRF 137 Hz

Bistatic angle 00/00/600

• Simulation parameters

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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