3D interferometric ISAR imaging of noncooperative targets

Stagliano, Daniele; Salvetti, Federica; Battisti, Nicola

doi:10.1109/taes.2014.130210

Cited by 112 publications

(96 citation statements)

References 19 publications

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“…32 for a detailed solution. However, when compared to the radar wavelength, the target size is much larger; the assumption is normally valid that the scatterers on a real target can be regarded as separated point-like, 8,9,[12][13][14][15][16] and the obtained image may be depicted by the location of strong scatterers. Therefore, the simulation in this paper is always under the condition that the scatterers on the target are point-like.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…However, in general, the ISAR image is just a 2-D range-Doppler projection of the 3-D target's reflectivity function onto an image plane, maneuvering targets have attracted wide attention in many applications such as target identification and target recognition. 8,9 There is much literature that covers 3-D ISAR images with various algorithms. The algorithms in Refs.…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional interferometric inverse synthetic aperture radar imaging of maneuvering target based on the joint cross modified Wigner-Ville distribution

Zheng

et al. 2016

J. Appl. Remote Sens

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Abstract. Inverse synthetic aperture radar (ISAR) can achieve high-resolution two-dimensional images of maneuvering targets. However, due to the indeterminate relative motion between radar and target, ISAR imaging does not provide the three-dimensional (3-D) position information of a target and suffers from great difficulty in target recognition. To tackle this issue, a 3-D interferometric ISAR (InISAR) imaging algorithm based on the joint cross modified Wigner-Ville distribution (MWVD) is presented to form 3-D images of maneuvering targets. First, we form two orthogonal interferometric baselines with three receiving antennas to establish an InISAR imaging system. Second, after the uniform range alignment and phase adjustment, the joint cross MWVD is used for all range cell of each antenna pair to generate the separation of the scatterer as well as preserve the phase that contains position information of the scatterer. At last, the 3-D images of the target can be directly reconstructed from the distribution. Simulation results demonstrate the validity of the proposal.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-dimensional interferometric inverse synthetic aperture radar imaging of maneuvering target based on the joint cross modified Wigner-Ville distribution

Zheng

et al. 2016

J. Appl. Remote Sens

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“…The spinning scatterers incorporate the micromotion and translational motion, while the imaging center point incorporates the translational motion. Therefore, the distance between the radar and the spinning scatterer is calculated as follows: (11) and the distance between the radar and the imaging center point is calculated as follows:…”

Section: Geometry Modelmentioning

confidence: 99%

“…To overcome this limitation, the high-resolution three-dimensional (3D) imaging which can represent the true characteristic and extract more information about the target has been explored and employed [6]. The commonly known techniques for forming 3D image mainly contain 3D ISAR imaging [7], ISAR movie [8], "snapshot" 3D imaging [9], interferometric ISAR technique [10,11], etc., but most of them are not suitable for the spinning target which possesses translational motion and micromotion.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of Three-Dimensional Images Based on Estimation of Spinning Target Parameters in Radar Network

et al. 2018

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A high-resolution three-dimensional (3D) image reconstruction method for a spinning target is proposed in this paper and the anisotropy is overcome by fusing different observation information acquired from the radar network. The proposed method will reconstruct the 3D scattering distribution, and the mapping of the reconstructed 3D image onto the imaging plane is identical to the two-dimensional (2D) imaging result. At first, the range compression and inverse radon transform is employed to produce the 2D image of the spinning target. In addition, the process of mapping the spinning target onto the imaging plane is analyzed and the mapping formulas which are to map the point onto the 2D image plane are derived. After the micro-Doppler signature about which every reconstructed point in 2D imaging result is extracted by the Radon transform, the extended Hough transform is adopted to calculate an important parameter about the micro-Doppler signature, and the 3D image reconstruction model for the spinning target is constructed based on the radar network. Finally, the algorithm for solving the reconstruction model is proposed and the 3D image of the spinning target is obtained. Some simulation results are given to illustrate the effectiveness of the proposed method, and results show that the mean square error (MSE) relatively holds a steady trend when the signal-to-noise ratio (SNR) is higher than −10 dB and the MSE of the reconstructed 3D target image is less than 0.15 when SNR is at the level of −10 dB.

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“…The first category is interferometric ISAR imaging [2,6,7,8,9]. By using conventional two-dimensional (2D) ISAR imaging algorithms, the target echoes received by the different antennas are processed to form 2D range-Doppler (RD) images.…”

Section: Introductionmentioning

confidence: 99%

3D Imaging of Rapidly Spinning Space Targets Based on a Factorization Method

Wei

Wang

et al. 2017

Sensors

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Three-dimensional (3D) imaging of space targets can provide crucial information about the target shape and size, which are significant supports for the application of automatic target classification and recognition. In this paper, a new 3D imaging of space spinning targets via a factorization method is proposed. Firstly, after the translational compensation, the scattering centers two-dimensional (2D) range and range-rate sequence induced by the target spinning is extracted using a high resolution spectral estimation technique. Secondly, measurement data association is implemented to obtain the scattering center trajectory matrix by using a range-Doppler tracker. Then, we use an initial coarse angular velocity to generate the projection matrix, which consists of the scattering centers range and cross-range, and a factorization method is applied iteratively to the projection matrix to estimate the accurate angular velocity. Finally, we use the accurate estimate spinning angular velocity to rescale the projection matrix and the well-scaled target 3D geometry is reconstructed. Compared to the previous literature methods, ambiguity in the spatial axes can be removed by this method. Simulation results have demonstrated the effectiveness and robustness of the proposed method.

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3D interferometric ISAR imaging of noncooperative targets

Cited by 112 publications

References 19 publications

Three-dimensional interferometric inverse synthetic aperture radar imaging of maneuvering target based on the joint cross modified Wigner-Ville distribution

Three-dimensional interferometric inverse synthetic aperture radar imaging of maneuvering target based on the joint cross modified Wigner-Ville distribution

Reconstruction of Three-Dimensional Images Based on Estimation of Spinning Target Parameters in Radar Network

3D Imaging of Rapidly Spinning Space Targets Based on a Factorization Method

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