A Butterfly Algorithm for Synthetic Aperture Radar Imaging

Demanet, Laurent; Ferrara, Maria Antonietta; Maxwell, Nicholas; Poulson, Jack; Ying, Lexing

doi:10.1137/100811593

Cited by 42 publications

(39 citation statements)

References 33 publications

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“…The stationary scene reconstruction method using ultranarrowband SAR that we reported in [33] can be implemented with the computational complexity of fast backprojection algorithms [32], [42]- [44]. As compared with [33], the computational complexity of our moving target image reconstruction and velocity estimation method increases roughly by a factor of M 2 if the velocity space is discretized into M × M points.…”

Section: Discussionmentioning

confidence: 99%

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Ground Moving Target Imaging Using Ultranarrowband Continuous Wave Synthetic Aperture Radar

Yazıcı

2013

IEEE Trans. Geosci. Remote Sensing

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Abstract-We present a novel method for ground moving target imaging using a synthetic aperture radar system transmitting ultranarrowband continuous waveforms (CW). Our method exploits the high Doppler resolution provided by ultranarrowband CW signals to image both the scene reflectivity and to determine the velocity of multiple moving targets. We develop a new forward model based on the temporal Doppler induced by the movement of antennas and moving targets. The forward model relates reflectivity and velocity information at each location to a correlated received signal. We form the reflectivity images of the moving targets and estimate their motion parameters using a filtered-backprojection (FBP) technique combined with the contrast or gradient optimization method. The method results in focused reflectivity images of moving targets and their velocity estimates, regardless of the target location, speed, and velocity direction. We show that the amplitude and visible edges of the targets can be correctly reconstructed when the correct target velocity estimate is used in the FBP imaging. We present the resolution analysis of the reflectivity images. Extensive numerical simulations demonstrate the performance of our method and validate the theoretical results.

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Section: Discussionmentioning

confidence: 99%

“…5) It is applicable to arbitrary imaging geometries, including arbitrary flight trajectories and nonflat topography. Furthermore, our image formation method is analytic and can be implemented computationally efficiently [32].…”

mentioning

confidence: 99%

Ground Moving Target Imaging Using Ultranarrowband Continuous Wave Synthetic Aperture Radar

Yazıcı

2013

IEEE Trans. Geosci. Remote Sensing

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“…At this stage, it would be worthwhile to point out that after Doppler domain mapping and frequency domain mapping, the range-dependent SAR transfer function (1) has now been transformed into an azimuth-dependent SAR transfer function (7). This new transfer function enables SAR image to be reconstructed via the stacking method [2] along azimuth direction.…”

Section: Frequency Domain Mappingmentioning

confidence: 99%

“…One representative of the time domain processing is the backprojection method [1][2][3], which can be very precise for all SAR configurations (even with motion errors), but are time-consuming and thus impractical for most of the SAR systems. In recent years, aiming to enhance its computational efficiency, several fast factorized backprojection methods have been proposed [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Azimuth Stacking Algorithm for Synthetic Aperture Radar Imaging

Li¹,

Tian²,

Wu³

et al. 2014

PIER

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Abstract-The aim of this paper is to present a frequency domain method for synthetic aperture radar (SAR) imaging. By using two consecutive linear mappings along Doppler and frequency domains, an azimuth-dependent SAR transfer function has been discovered. Based on this new transfer function, the SAR image can be reconstructed by the proposed azimuth stacking algorithm. The new algorithm can form SAR image at each azimuth position without DFT wrap around errors. If Chirp z-transform (CZT) is applied to carry out the two consecutive mappings (since they are linear mappings), the proposed algorithm will not require interpolations and thus its reconstructed image would be free of truncation errors. The new algorithm has been validated using both simulated and experimental ultrawideband/widebeam (UWB/WB) SAR data.

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“…ii) It applies to arbitrary imaging geometries including arbitrary antenna trajectories and nonflat topography. iii) It has the advantage of computational efficiency when fast-backprojection algorithms are employed [10]. We first present a forward model to map the reflectivity and velocity of a moving scene to the scattered field data.…”

Section: Introductionmentioning

confidence: 99%

Ground moving target imaging using bi-static synthetic aperture radar

Duman

Yazıcı

2013

2013 IEEE Radar Conference (RadarCon13)

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Abstract-In this paper, we present a novel method for imaging of moving targets using bi-static synthetic aperture radar configurations. We present a forward model that maps the twodimensional reflectivity and velocity of targets to the measured scattered field data. We then introduce a filtered-backprojection type method to reconstruct the reflectivity and use Renyi entropy to determine the two-dimensional velocity of targets. The filter is determined so that the reflectivity images are reconstructed at the correct location, orientation and strength whenever the velocity field is determined correctly. We present numerical simulations to verify our theory.

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A Butterfly Algorithm for Synthetic Aperture Radar Imaging

Cited by 42 publications

References 33 publications

Ground Moving Target Imaging Using Ultranarrowband Continuous Wave Synthetic Aperture Radar

Ground Moving Target Imaging Using Ultranarrowband Continuous Wave Synthetic Aperture Radar

Azimuth Stacking Algorithm for Synthetic Aperture Radar Imaging

Ground moving target imaging using bi-static synthetic aperture radar

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