Along-track interferometry for ground moving target indication

Chapin, Elaine; Chen, C.W.

doi:10.1109/maes.2008.4558004

Cited by 38 publications

(13 citation statements)

References 3 publications

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“…SAR was originally designed as an airborne radar technology to image stationary ground scenes, but it has long been desired to also be able to use SAR imaging systems to ground moving target indication (GMTI) in military and civilian applications (Chapin and Chen 2008;Maori et al 2008). Therefore, SAR-GMTI has received a great deal of attention and been intensively investigated (Entzminger 1999;Livingstone and Thompson 2004).…”

Section: Introductionmentioning

confidence: 99%

A fast multichannel SAR raw data simulator of clutter and moving targets

Mohammadi

Mahmoudi

2016

Multidim Syst Sign Process

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Accessibility of a fast and accurate multichannel synthetic aperture radar raw data generator of stationary clutter and moving targets has high importance, especially in the application of ground moving target indication. In this paper, a fast four-stage algorithm for generating the raw data of each channel stationary clutter and moving targets, has been proposed respectively in the frequency and the hybrid time-frequency domain. Using this simulator, in different conditions in terms of target motion speed, acceleration and direction, for each of the channels, after generating the raw data, its final image has been extracted by the range-Doppler algorithm. Then, using clutter suppression techniques such as DPCA, ATI and hybrid DPCA-ATI, the multichannel SAR final image has been obtained in ideal and nonideal conditions. Finally, the obtained images of the first channel have been studied using the extracted formulas for predicting the effects of target motion parameters on the SAR images as well as analyzing the multichannel SAR final image. The results show that the proposed algorithm for generating the raw data of each channel stationary clutter and moving targets has better performance in terms of speed and accuracy than the other existing simulators and the proposed multichannel SAR simulation method has high quality.

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Section: Introductionmentioning

confidence: 99%

A fast multichannel SAR raw data simulator of clutter and moving targets

Mohammadi

Mahmoudi

2016

Multidim Syst Sign Process

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“…This capability of multiple spatial samples, that is, echoes received from different antenna elements, and multiple time samples, that is, echoes collected at different PRI intervals can be combined in order to obtain better performance in the presence of strong ground clutter. Along track interferometry [7][8][9], displaced phase centre array [10,11], time-frequency Transforms [12][13][14] and space-time adaptive processing (STAP) are examples of the use of multichannel SAR systems for mitigating the deleterious effects of clutter. Specifically, STAP techniques are widely used for clutter mitigation purposes and have been widely treated for the general airborne radar case of slowly moving ground targets [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Space‐Doppler adaptive processing for radar imaging of moving targets masked by ground clutter

Bacci

Gray

Berizzi

2015

IET Radar, Sonar & Navigation

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Non-cooperative moving targets appear defocused within synthetic aperture radar (SAR) images and, in the case of ground targets, the blurring effect because of the uncompensated target motion decreases the radar's detection capabilities. Ground clutter, if sufficiently strong, may also obscure individual scatterers on moving targets resulting in a decreased ability to successfully classify the target. In this study, clutter suppression and inverse synthetic aperture radar (ISAR) imaging are combined to obtain high-resolution images of non-cooperative moving ground targets within SAR images. The clutter suppression technique proposed here is ISAR application oriented and is termed space-Doppler adaptive processing. Results obtained by processing a real dataset demonstrate the effectiveness of the proposed method.

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“…Certain known schemes, such as space-time adaptive processing (STAP) [8][9][10][11][12], displacement phase center antenna (DPCA) [13,14], and along-track interferometry (ATI) [15,16], have demonstrated their usefulness in moving target detection. In addition, certain experiments and applications [17,18] have demonstrated that ATI has good potential for detecting ground-moving targets.…”

Section: Introductionmentioning

confidence: 99%

Moving Target Detection Based on the Spreading Characteristics of SAR Interferograms in the Magnitude-Phase Plane

et al. 2015

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Abstract:We propose a constant false alarm rate (CFAR) algorithm for moving target detection in synthetic aperture radar (SAR) images based on the spreading characteristics of interferograms on the magnitude-phase (M-P) plane. This method is based on the observation that, in practice, both moving and stationary targets along with clutter are located at different regions in the M-P plane, and hence reasonable partitions of the M-P plane can help in detecting moving targets. To ensure efficient CFAR detection and to resolve the effect of factors that influence detection results, the proposed algorithm is divided into three distinct stages: coarse detection, fine detection, and post-processing. First, to accurately describe the statistical behavior of clutter, a global censoring strategy, called coarse detection, is introduced to adaptively eliminate the influences of the moving and stationary target points from the given data. Then, to acquire fine detection results, a novel CFAR detector is developed on the basis of the fits of a known theoretical M-P joint probability density function (PDF) against the two-dimensional (2-D) histogram of the censored clutter. The joint PDF's projected contour line that satisfies the desirable probability of false alarm (PFA) corresponds to the required threshold of detection in the M-P plane. Finally, two filters, the magnitude and phase filters, are applied to reduce the false alarms generated from the

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Along-track interferometry for ground moving target indication

Cited by 38 publications

References 3 publications

A fast multichannel SAR raw data simulator of clutter and moving targets

A fast multichannel SAR raw data simulator of clutter and moving targets

Space‐Doppler adaptive processing for radar imaging of moving targets masked by ground clutter

Moving Target Detection Based on the Spreading Characteristics of SAR Interferograms in the Magnitude-Phase Plane

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