SAR imaging of moving targets

Perry, R.P.; DiPietro, R.C.; Fante, Ronald L.

doi:10.1109/7.745691

Cited by 713 publications

(382 citation statements)

References 13 publications

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“…Raney [1] has described much of the basic phenomenology of moving target motion effects in SAR imagery, including cross-range offset and defocus effects. In addition, Perry et al [2] have developed a method for refocusing the smeared signatures of moving targets under the assumption that the target motion smearing lies in the radar cross-range direction. Furthermore, Fienup [3] has developed a shear averaging algorithm used to perform automatic detection and focusing of moving target smears in SAR imagery under the assumption that the motion-induced smearing lies in the radar cross-range direction.…”

Section: Introductionmentioning

confidence: 99%

Smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar imagery

Garren

2014

IET Radar, Sonar & Navigation

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This study develops a methodology for analytically predicting the detailed smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar (SAR) imagery. The radar sensor is assumed to move with constant speed and heading on a level flight path with broadside imaging geometry. Cases of uniform target motion exhibit morphology of simply curved smear shapes, as has been reported previously. However, the present analysis shows that nonuniform target motion can cause complicated smear shapes in spotlight SAR imagery. Specifically, the method of stationary phase is applied to local subaperture SAR images to yield analytic non-parametric expressions for the morphology of smear signatures within spotlight SAR imagery for surface targets with arbitrary motion trajectories. This predictive capability offers the potential of extracting some characteristics of true target motion based upon the induced SAR smear signatures alone.

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Section: Introductionmentioning

confidence: 99%

Smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar imagery

Garren

2014

IET Radar, Sonar & Navigation

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“…Measurements have shown that the Signal to Clutter Noise Ratio (SCNR) increases by 20-30dB even for a short synthetic aperture [7,9]. Normally these short clutter filtered apertures are combined to higher resolution by SAR processing [10][11][12], which will also increase the SCNR in the detection [7,12].…”

Section: Introductionmentioning

confidence: 99%

“…This algorithm assumes long integration time thereby making it possible to estimate both along and across track target motion [11]. Section III derives the optimum discretization from the SAR image impulse response.…”

Section: Introductionmentioning

confidence: 99%

Optimum relative speed discretisation for detection of moving objects in wide band SAR

Pettersson

2007

IET Radar Sonar Navig.

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This is an author produced version of a paper published in IET Radar, Sonar and Navigation. This paper has been peer-reviewed but may not include the final publisher proof-corrections or journal pagination.Citation for the published paper: Mats I. Pettersson Optimum relative speed discretisation for detection of moving objects in wide band SAR IET Radar, Sonar and Navigation Volume 1, Issue 3, page 213-220, Year 2007 Access to the published version may require subscription. Published with permission from: IET Abstract: This paper considers Ground Moving Target Indication (GMTI) using Synthetic Aperture Radar (SAR). SAR GMTI requires that Relative Speed between the target and the SAR platform is included in the detection algorithm. A separation between the true Relative Speed and the Relative Speed used in the SAR process will cause unfocused targets, and decrease detectability. Blind hypotheses of Relative Speeds are used in the detection phase of moving targets in SAR.The step size between the hypotheses (or, discretization step) in Relative Speed involves a trade off between the number of hypotheses to test and detectability. A large number of tests will increase detectability but will also increase computation load and vice versa. The relevance of Relative Speed increases as the azimuth integration time gets larger. Long integration time is associated with low signature moving target detection in strong clutter environments, or for SAR GMTI at low frequencies. In this paper we determine the optimum discretization of Normalized Relative Speed (NRS) for moving target detection. The optimum discretization is derived from the moving target impulse response. Use of optimum discretization reduces the computation burden in SAR GMTI and secures the detectability.

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“…In the non-searching methods, the keystone transform (KT) is able to eliminate the RM effect based on long time coherent integration technology [17][18][19]. But the DFM induced by acceleration cannot be removed by KT.…”

Section: Introductionmentioning

confidence: 99%

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

Zhang¹,

Hong²,

Yang³

et al. 2017

Preprint

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Abstract:In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters estimation methods can reduce the range migration (RM) and Doppler frequency migration (DFM) effects in ISAR imaging, the computational complexity is high. In this paper, we propose a new fast non-searching motion parameters estimation method based on cross-correlation of adjacent echoes (CCAE) for wideband LFM signals. A cross-correlation operation is carried out for two adjacent echo signals, then the motion parameters can be calculated by estimating the frequency of the correlation result. The proposed CCAE method can be applied directly to the stretching system, which is commonly adopted in wideband radar systems. Simulational results demonstrate that the new method can achieve better estimation performances, with much lower computational cost, compared with existing methods. The experimental results on real radar data sets are also evaluated to verify the effectiveness and superiority of the proposed method compared to the state-of-the-art existing methods.

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SAR imaging of moving targets

Cited by 713 publications

References 13 publications

Smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar imagery

Smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar imagery

Optimum relative speed discretisation for detection of moving objects in wide band SAR

A Fast Motion Parameters Estimation Method Based on Cross-Correlation of Adjacent Echoes for Wideband LFM Radars

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