3D target reconstruction by means of 2D-ISAR imaging and interferometry

Salvetti, Federica; Stagliano, Daniele

doi:10.1109/radar.2013.6586064

Cited by 35 publications

(29 citation statements)

References 15 publications

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“…As shown in [29] for small values of T obs and, as a consequence of a constant rotation vector during the observation time V T (t) ≃ V T , the inner product in (2) can be expressed as follows (see details in Appendix 1)…”

Section: Signal Modelmentioning

confidence: 99%

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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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Section: Signal Modelmentioning

confidence: 99%

“…As shown in [29] the inner product in (2) can be expressed with respect the T x reference system as follows…”

mentioning

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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“…The first class of method to form 3D images is based on interferometric ISAR techniques [3][4][5][6]. Such approaches make use of multireceivers to generate multiple ISAR images, and the height information can be estimated from the phase differences between the corresponding ISAR images.…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional inverse synthetic aperture radar imaging based on compressive sensing

Qiu

Zhou

Zhao

et al. 2015

IET Radar, Sonar & Navigation

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Inverse synthetic aperture radar (ISAR) can form two-dimensional (2D) electromagnetic images of a target, but it cannot provide the third dimensional information about the target. Conventional 3D turntable ISAR imaging requires data collection over densely azimuth-elevation samples, which needs a large amount of data storage. In this study, an effective 3D ISAR imaging algorithm for turntable model based on compressive sensing is proposed, which exploits the sparsity in the image domain to achieve 3D reconstruction by using a limited number of measurements. Firstly, the 3D data tensor is converted into a 2D matrix by stacking slices of data along one specific dimension; then a 2D optimisation reconstruction approach is applied to solve a sparsity-driven optimisation problem to obtain the 2D distribution of the scatterers. Lastly, 3D ISAR images are generated by rearranging the scatterer distribution in the 2D map into a 3D volume. This imaging scheme only needs a small number of measurements, and reduces the required memory and computational burden significantly. Simulation results are finally shown to validate the proposed algorithm

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“…It has been reported that a single interferometric system with three receivers (3D InISAR) on orthogonal baselines can be used to estimate the effective rotational velocity vector of a non-cooperative target, along with its orientation relative to a radar centric coordinate system [3], [4]. A multi-static interferometric system could be used to estimate the total velocity vector by combining the estimates of the effective rotation vectors of each component system.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, still under the condition of a constant rotation vector, it will be demonstrated in this work that the second order term in the received signal phase contains sufficient information to estimate the total rotation vector when jointly used with a dual interferometric ISAR imaging systems [4]. A theoretical approach is followed in this paper to demonstrate the concept and simulation results are provided to show some example of its applicability.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the total rotational velocity of a non-cooperative target using a 3D InISAR system

Tran

Giusti

Salvetti

et al. 2015

2015 IEEE Radar Conference (RadarCon)

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We report on a new technique for the estimation of the total rotational velocity of a non-cooperative target using a single interferometric ISAR system. It uses 3D interferometric ISAR techniques to obtain a first estimate of the scatterers' positions and effective rotation vector. Then the second-order local polynomial Fourier transform (LPFT) is applied to estimate the second component of the total rotation vector, and therefore the total vector itself. The true three-dimensional size and shape of a target - an important metric for automatic target recognition - can thus be estimated. Cross-range resolution in the 2D ISAR images is also improved in the process

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3D target reconstruction by means of 2D-ISAR imaging and interferometry

Cited by 35 publications

References 15 publications

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

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

Three‐dimensional inverse synthetic aperture radar imaging based on compressive sensing

Estimation of the total rotational velocity of a non-cooperative target using a 3D InISAR system

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