Radar signature modeling for combat systems

Coburn, William O.; Le, Calvin; Kenyon, C.; Sullivan, Anders; Namburu, Raju R.

doi:10.1109/dodugc.2003.1253376

Cited by 5 publications

(3 citation statements)

References 3 publications

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“…Next we present simulation results of a complicated target, a model of tank, to illustrate the SAR images in free space and above a rough surface and the changes of amplitudes and locations of scattering points when the target is above different rough surfaces. ere are also tank results that could be obtained in [4,5]. e size of tank model is 29 in length, 1 7 in width, and 73 in height.…”

Section: Numerical Examplesmentioning

confidence: 99%

“…Guan et al computed the scattered �elds of a perfectly electrical conducting (PEC) target above a �nite PEC rough surface using the method of moment (MoM) and half-space Green's function [2]. Xpatch could be used to calculate the scattering by objects-either PEC or dielectric-above a dielectric rough surface using the high-frequency (HF) methods and generate the SAR images rapidly [3][4][5]. However, the parameters of the ground or sea surface, including the dielectric constant, and electric conductivity could not be enumerated.…”

Section: Introductionmentioning

confidence: 99%

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Scattering Characteristics of Targets above a Rough Surface in SAR Images

Zhao

Cui

2013

International Journal of Antennas and Propagation

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The modeling, simulation, and analysis of target characteristics are essential to a synthetic aperture radar (SAR) image-based autotarget recognition (ATR) system. The coupling effect between targets and rough surface is also important to the electromagnetic scattering and remote sensing. In this work, the simulations to SAR images of targets above a finite rough surface have been investigated. The effect of rough surface on the target characteristics, or the coupling between the rough surface and targets, is analyzed in details by observing changes of locations and intensities of scattering centers in the SAR images. The SAR images are obtained by taking two-dimensional inverse fast Fourier transforms (FFTs) of the scattered fields, which are computed by the combined high-frequency method of shooting and bouncing ray (SBR) and truncated-wedge incremental-length diffraction coefficients (TW-ILDCs). Simulated results of SAR images for complicated targets above a rough surface are given under the 0.25 × 0.25 m2resolution at the X band, in which the coupling effect between targets and rough surface has been studied in details.

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Section: Numerical Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scattering Characteristics of Targets above a Rough Surface in SAR Images

Zhao

Cui

2013

International Journal of Antennas and Propagation

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“…The radar signatures of the complex target model can be determined by reducing the target to a list of effective scatters, complex amplitudes and their positions as projected along the radar LOS. There are some powerful tools used for radar signature prediction of complex targets, such as Xpatch [6,7] which is based on the Shooting and Bouncing Ray (SBR) technique. However it is hard to obtain, so we developed the tools of ourselves based on high frequency method.…”

Section: Target Modelling and Scattering Center Extractionmentioning

confidence: 99%

Scenario and target simulation for a ground based multifunction phased array radar

Zhang

Xie

Tian

et al. 2008

J. Electron.(China)

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This paper describes a scenario and target simulation which operates in non real-time to provide full closed-loop operation of the ground based multifunction phased array radar simulation system in support of ballistic missile defence experiments against countermeasure. By simulating the target scattering signature and dynamical signature, this scenario and target simulation provide realistic scenario source to evaluate the system performance of multifunction phased array radar, and the key algorithms verification and validation such as target tracking, multi-target imaging and target recognition.

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