Interferometric moving ground target imaging

Stockburger, Edward F.; Held, D. N.

doi:10.1109/radar.1995.522588

Cited by 70 publications

(30 citation statements)

References 3 publications

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“…These results are a slightly lower than the 23-30dB reported by [32,38,40]. However these papers do not describe the clutter estimate procedures, confidence or statistical background used making comparison of these techniques difficult.…”

Section: Resultsmentioning

confidence: 63%

Detection of moving targets in wideband SAR

Pettersson

2004

IEEE Trans. Aerosp. Electron. Syst.

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Abstract-A likelihood ratio is proposed for moving target detection in a wide band (WB) SAR system. For this paper, WB is defined as any systems having a large fractional bandwidth, i.e. an ultra wide frequency band combined with a wide antenna beam. The developed method combines time domain fast backprojection SAR processing methods with moving target detection using space-time processing. The proposed method reduces computational load when sets of relative speeds can be tested using the same clutter suppressed sub-aperture beams. The proposed method is tested on narrow band radar data.

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Section: Resultsmentioning

confidence: 63%

Detection of moving targets in wideband SAR

Pettersson

2004

IEEE Trans. Aerosp. Electron. Syst.

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“…By threshold comparisons within the intensity and the phase images, we [4], [5], [6] and others [3] have shown that it is possible to detect and georegister moving targets in the SAR. Figure 4 shows the results of automatic moving target detection on a larger SAR image of Ft. Huachuca.…”

Section: Introductionmentioning

confidence: 81%

Tracking Moving Ground Targets from Airborne SAR via Keystoning and Multiple Phase Center Interferometry

Sanyal¹,

Zasada²,

Perry³

2006

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Abstract- I. INTRODUCTIONConventional synthetic aperture radar (SAR) requires sufficient integration time to generate pixels that are roughly symmetric in the range and cross-range dimensions. Pixel deviations from perfect symmetry (ellipticity) are normally considered undesirable because human visual perception is optimized for images consisting of round pixels. As pixel ellipticity increases, image interpretability by human operators decreases. However, in conventional SAR, useful moving target effects noticeable over short processing intervals can be significantly suppressed unless extensive target-specific motion compensation techniques are applied. The most noticeable form of moving target degradation is caused by range walk, wherein the signal returns from moving targets successively "walk" through many adjacent range/cross-range pixels during the image data collection time interval, causing substantial target blurring.Without some form of motion compensation, SAR images experience significant range walk and be quite blurred. In 1997, MITRE reported development of the Keystone Process [1].Keystone Formatting simultaneously compensates for multiple target motion at multiple radial velocities. Thus no matter what radial velocity the target is moving at, it will remain in a given range cell determined by its position at the center of the coherent processing interval.Coherent processing of the data without any compensation for target motion results in an integration loss and smearing of the target over multiple range cells. Standard motion compensation will only correct the range walk for one target at a time. The Keystone process compensates for the motion of all the targets simultaneously. (See Figure 1).Further, the SAR data has to be acceleration-compensated to produce focused images. Since each target may have a different acceleration, the moving targets can be individually and automatically focused after detection using the procedures previously reported in [1].The target motion causes the moving targets to appear at locations different from their true instantaneous locations on the ground. This is due to the coupling of the cross-range position to the target radial velocity and the fact that the moving target and the ground under it have different radial velocities relative to the platform. The result is the well known 'train off the track' or 'boat off the wake' phenomenon (Figure 2). Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwi...

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“…Depending on channel numbers of the radar system, many clutter suppression techniques can be used, such as DPCA (Displaced Phase Center Antenna) (Wang, 1991;Zhu et al, 2011), CSI (Xi and Zhang, 2007;Zhang et al, 2009;Deng and Zhang, 2007;Greenspan, 2007;Stockburger et al, 1995;Deming et al, 2012), STAP (Space-Time Adaptive Processing) (Ward, 1994;Melvin, 2000), and so on. On the one hand, clutter suppression ability and moving targets positioning precision can be enhanced with more channels.…”

Section: Introductionmentioning

confidence: 99%

“…These features make it a good choice for real-time moving target detection. At present, the discussions about CSI algorithm mainly concentrate on designing a proper channel equalization approach to better suppress ground clutter in uniformly spaced channel system (Xi and Zhang, 2007;Zhang et al, 2009;Deng and Zhang, 2007;Greenspan, 2007;Stockburger et al, 1995;Deming et al, 2012). However, in the process of channel cancellation, moving targets component will also be cancelled to some extent depending on the radial velocity and squint angle of the target.…”

Section: Introductionmentioning

confidence: 99%