Introduction to Inverse Synthetic Aperture Radar

Martorella, Marco

doi:10.1016/b978-0-12-396500-4.00019-3

Cited by 13 publications

(7 citation statements)

References 39 publications

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“…The effects of the first phase term have been extensively analyzed in [2] and [10], where a constraint has been found that guarantees that the consequent ISAR image distortions can be neglected. For the sake of completeness, such a constraint is shown in (42).…”

Section: B the Effect Of Targets' Translationmentioning

confidence: 99%

“…The assumption to be considered for the proposed technique to work effectively is that the target's rotational motion is constant (enough) during the coherent processing interval (CPI), regardless of what caused a rotation. Assume T is the rotation vector seen by the bistatic radar; the effective rotation vector can be calculated by means of the following equation [8,10].…”

Section: A System Geometrymentioning

confidence: 99%

“…As we know, the conventional ISAR imaging approach produces two-dimensional (2D) images of targets by projecting the reflectivity function onto the so-called image projection plane (IPP) [8,9,10]. Thus, the same target may produce very different projections and then appear unusual when the IPP changes.…”

Section: Introductionmentioning

confidence: 98%

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Bistatic three-dimensional interferometric ISAR image reconstruction

Zhao

Gao

Stagliano

2015

IEEE Trans. Aerosp. Electron. Syst.

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A three-dimensional (3D) bistatic inverse synthetic aperture radar (ISAR) imaging method is proposed in this paper. The proposed method makes use of interferometry and technically speaking, produces a 3D target reconstruction by estimating a scattering center position in 3D Cartesian space. The proposed method makes use of a combined ISAR/interferometry technique that also allows the ISAR image plane to orientation to be estimated. Cross- or L-shaped antenna configurations are discussed, and the effects of the baseline length along the horizontal and vertical direction on the scatterer's position estimation are analyzed in detail. Finally, numerical simulations are used to evaluate the proposed method's performance

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Section: B the Effect Of Targets' Translationmentioning

confidence: 99%

Section: A System Geometrymentioning

confidence: 99%

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Bistatic three-dimensional interferometric ISAR image reconstruction

Zhao

Gao

Stagliano

2015

IEEE Trans. Aerosp. Electron. Syst.

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“…However, the ISAR image (ˆ ) is different from the image that would be obtained by applying a Fourier-based algorithm to the complete data. In ideal conditions [32], conventional ISAR images can be interpreted as the 2D convolution between the target's reflectivity function and a 2D cardinal sinelike (sinc-like) function, which represents the ISAR system impulse response. Conventional ISAR images are then the composition of 2D sinc-like functions, whose position and amplitude correspond to the scatterers' position and reflectivity, respectively.…”

Section: A Cs For Passive Isar With Dvb-t Signalsmentioning

confidence: 99%

Compressive sensing–based algorithm for passive bistatic ISAR with DVB-T signals

Qiu

Giusti

Bacci

et al. 2015

IEEE Trans. Aerosp. Electron. Syst.

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Inverse synthetic aperture radar (ISAR) images can be obtained using digital video broadcasting-terrestrial (DVB-T)-based passive radars. However, television broadcast-transmitted signals offer poor range resolution for imaging purposes, because they have a narrower bandwidth with respect to those transmitted by a dedicated ISAR system. To reach finer range resolutions, signals composed of multiple DVB-T channels are required. Problems arise, however, because DVB-T channels are typically widely separated in the frequency domain. The gaps between channels produce high grating Manuscript lobes in the image domain when Fourier-based algorithms are used to form the ISAR image. In this paper, compressive sensing theory is investigated to address this problem because of its ability to reconstruct sparse signals by using incomplete measures. By solving an optimization problem under the constraint of signal sparsity, passive ISAR images can be obtained with strongly reduced grating lobes. Both simulation and experimental results are shown to demonstrate the validity of the proposed approach.

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“…ISAR는 표적의 회전 또는 이동 운동을 이용해서 aperture 를 합성해서 표적의 이미지를 형성하는 기법으로복원된 이미지의 해상도가 표적의 움직임에 의존적이므로 움직임 에 대한 추정이 필요하다 [2] . 모노스태틱(monostatic) ISAR 의한계점을극복하기 위해여러 개송수신레이다들을 이격 시켜 배치하는 MIMO ISAR 혹은 멀티스태틱 ISAR 기법과 같은 distributed ISAR 기법이 제안되었다 [4] .…”

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Polar-Format-Processing-Based Moving Target Imaging in MIMO Radar Environment

Choi¹,

Yang²

2019

J. Korean Inst. Electromagn. Eng. Sci.

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This study presents an imaging algorithm that can provide an image of a moving target in a multiple-input-multiple-output radar environment where multiple transmitting and receiving radars are fixed on the ground. The proposed algorithm, which is based on polar format processing using plane wave approximation, is shown to provide an unaliased image by using multiple transmitting radars even when the distances between the receiving radars are relatively large. We derive the conditions necessary to deploy the transmitting radars by which the resolution of the reconstructed image can be improved, while simultaneously reducing aliasing artifacts. Moreover, we offer a means of separating out each transmitting radar target echo. Finally, the performance of the proposed system is verified through a simulation.

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Introduction to Inverse Synthetic Aperture Radar

Cited by 13 publications

References 39 publications

Bistatic three-dimensional interferometric ISAR image reconstruction

Bistatic three-dimensional interferometric ISAR image reconstruction

Compressive sensing–based algorithm for passive bistatic ISAR with DVB-T signals

Polar-Format-Processing-Based Moving Target Imaging in MIMO Radar Environment

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