Radar Cross Section Handbook

Ruck, G. T.; Barrick, Donald E.; Stuart, William D.; Krichbaum, C. K.

doi:10.1007/978-1-4899-5324-7

Cited by 1,183 publications

(487 citation statements)

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“…f z and f mx are the terms which are related to the equivalent surface electric and magnetic currents [19]. The radar scattering coefficient in the far zone is defined as [21] …”

Section: Output Boundarymentioning

confidence: 99%

FDTD Investigation on Bistatic Scattering From a Target Above Two-Layered Rough Surfaces Using Upml Absorbing Condition

Li¹,

Guo²,

Zeng³

2008

PIER

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Abstract-This paper presents an investigation for the electromagnetic scattering characteristic of the 2-D infinitely long target located above two-layered 1-D rough surfaces. A finite-difference time-domain (FDTD) approach is used in this study, and the uniaxial perfectly matched layer (UPML) medium is adopted for truncation of FDTD lattices, in which the finite-difference equations can be used for the total computation domain by properly choosing the uniaxial parameters. The upper and lower interfaces are characterized with Gaussian statistics for the height and the autocorrelation function. For the composite scattering of infinitely long cylinder and underlying single-layered rough surfaces as an example, the angular distribution of scattering coefficient with different incident angles is calculated and it shows good agreement with the numerical result by the conventional method of moments. And the influence of some parameters related to the twolayered rough surfaces and target on composite scattering coefficient is investigated and discussed in detail.

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“…f z and f mx are the terms which are related to the equivalent surface electric and magnetic currents [19]. The radar scattering coefficient in the far zone is defined as [21] …”

Section: Output Boundarymentioning

confidence: 99%

FDTD Investigation on Bistatic Scattering From a Target Above Two-Layered Rough Surfaces Using Upml Absorbing Condition

Li¹,

Guo²,

Zeng³

2008

PIER

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“…In this LP-basis technique, the knowledge of theoretical scattering matrix is required for only one reference target such as a circular plate or a sphere. These targets are easy to align and their scattering matrices can be calculated very precisely [31]. The correct scattering matrices of other complex dihedral targets are derived from this reference target's data.…”

Section: Ct1 Cp Calibration Processmentioning

confidence: 99%

The Development and Comparison of Two Polarimetric Calibration Techniques for Ground-Based Circularly Polarized Radar System

Izumi

Demirci

Baharuddin³

et al. 2017

PIER B

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Abstract-Two techniques are described for the calibration of ground-based (GB) circularly polarized (CP) full polarimetric radars. The techniques are based on the point target calibration approach that uses various types of canonical reflectors with different orientations. Specifically, the calibration methods for linearly polarized (LP) radar proposed by Wiesbeck et al. and Gau et al. are selected and adapted to CP with suitable reflectors. The applicability of the techniques is examined through C-band scatterometric and synthetic aperture radar (SAR) measurements in an anechoic chamber. For the scatterometric mode, comparisons of calibrated channel imbalances with theoretical values show agreement within ±0.3 dB in amplitude and ±5 • in phase. The crosstalk between the channels is also reduced by ∼ 5 to 30 dB after calibration. For the SAR mode, calibrated scattering matrix of a vertical wire target exhibits significant elimination of distortions between channel amplitudes and phases. The effect of calibration on target parameter retrieval is also investigated through the Cloud-Pottier eigenvector-based decomposition. Both calibration techniques are shown to yield improved accuracy of entropy-alpha (H-ᾱ) distributions and orientation angle (β) values.

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“…The ship is illuminated by a plane wave E i = e +jk 0 xẑ where k 0 is the wavenumber. The bistatic RCS (radar cross section) in the direction of (θ, φ) is defined as [10] …”

Section: Formulationsmentioning

confidence: 99%

Application of SVD Noise-Reduction Technique to Pca Based Radar Target Recognition

Lee¹,

Ou²,

Fang³

2008

PIER

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Abstract-The noise effect is very challenging in radar target recognition. It usually degrades the accuracy of target recognition and then makes the recognition unreliable. In this study, we present a noise-reduction technique to improve the accuracy of radar target recognition. Our noise-reduction technique is based on the SVD (singular value decomposition). The PCA (principal components analysis) based radar recognition algorithm is utilized to verify our noise-reduction scheme. In our treatment, the received signals are arranged into a Hankel-form matrix. This Hankel-form matrix is decomposed into two subspaces, i.e., the noise-related subspace and clean-signal subspace. The noise reduction is obtained by suppressing the noise-related subspace and retaining the clean-signal space only. Simulation results show that the accuracy of target recognition is greatly improved as the received signals are first processed by the SVD noise-reduction technique. With the use of proposed noise-reduction scheme, the radar target recognition can tolerate more noises and then becomes more reliable. The noise-reduction technique in this study can also be applied to many other problems in radar engineering.

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Radar Cross Section Handbook

Cited by 1,183 publications

References 0 publications

FDTD Investigation on Bistatic Scattering From a Target Above Two-Layered Rough Surfaces Using Upml Absorbing Condition

FDTD Investigation on Bistatic Scattering From a Target Above Two-Layered Rough Surfaces Using Upml Absorbing Condition

The Development and Comparison of Two Polarimetric Calibration Techniques for Ground-Based Circularly Polarized Radar System

Application of SVD Noise-Reduction Technique to Pca Based Radar Target Recognition

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