Improved Reconstruction of Radio Holographic Signal for Forward Scatter Radar Imaging

Hu, Cheng; Liu, Changjiang; Wang, Rui; Zeng, Tao

doi:10.3390/s16050651

Cited by 4 publications

(4 citation statements)

References 22 publications

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“…A classical model of forward scattering field (or signal) was given based on the Fresnel–Kirchhoff diffraction theory [5]

E = \frac{j A_{0}}{2 λ} \int \int_{S} ε_{T} false(x^{normal′}, z^{normal′} false) \frac{{normale}^{j k false(r_{1} + r_{2} false)}}{r_{1} r_{2}} [\cos α_{1} + \cos α_{2}] normald x^{'} normald z^{'}

where

A_{0}

is the amplitude of transmitted signal,

r_{1}

and

r_{2}

are distances from one point in shadow area to the transmitter to the receiver, respectively.

ε_{T} false(x^{normal′}, z^{normal′} false)

is the indication function of the shadow profile.…”

Section: Complex Forward Scattering Coefficientmentioning

confidence: 99%

“…Considering the signal characteristics from near‐field to far‐fields which were shown by experimental result in [3], the impact of target size to signal properties was studied and the boundary between near‐field forward scattering and far‐field forward scattering was basically given in [5]. A generalised electromagnetic model was presented in order to predict the response of forward scatter radar systems for air‐target surveillance applications in both far‐field and near‐field conditions in [6].…”

Section: Introductionmentioning

confidence: 99%

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Complex forward scattering coefficient for signal characterisation

Chen

Liu

et al. 2019

J. eng.

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“…A classical model of forward scattering field (or signal) was given based on the Fresnel–Kirchhoff diffraction theory [5]

E = \frac{j A_{0}}{2 λ} \int \int_{S} ε_{T} false(x^{normal′}, z^{normal′} false) \frac{{normale}^{j k false(r_{1} + r_{2} false)}}{r_{1} r_{2}} [\cos α_{1} + \cos α_{2}] normald x^{'} normald z^{'}

where

A_{0}

is the amplitude of transmitted signal,

r_{1}

and

r_{2}

are distances from one point in shadow area to the transmitter to the receiver, respectively.

ε_{T} false(x^{normal′}, z^{normal′} false)

is the indication function of the shadow profile.…”

Section: Complex Forward Scattering Coefficientmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Complex forward scattering coefficient for signal characterisation

Chen

Liu

et al. 2019

J. eng.

Self Cite

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“…In the meantime, the imaging algorithm of bistatic SAR is quite different than the traditional monostatic SAR and many research works paid attention to the focusing algorithm. In the recent ten years, many investigations have been published and make the bistatic SAR system become a popular topic in the radar sensor field [ 13 , 14 , 15 ].…”

Section: Introductionmentioning

confidence: 99%

Accurate Analysis of Target Characteristic in Bistatic SAR Images: A Dihedral Corner Reflectors Case

et al. 2017

Sensors

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The dihedral corner reflectors are the basic geometric structure of many targets and are the main contributions of radar cross section (RCS) in the synthetic aperture radar (SAR) images. In stealth technologies, the elaborate design of the dihedral corners with different opening angles is a useful approach to reduce the high RCS generated by multiple reflections. As bistatic synthetic aperture sensors have flexible geometric configurations and are sensitive to the dihedral corners with different opening angles, they specially fit for the stealth target detections. In this paper, the scattering characteristic of dihedral corner reflectors is accurately analyzed in bistatic synthetic aperture images. The variation of RCS with the changing opening angle is formulated and the method to design a proper bistatic radar for maximizing the detection capability is provided. Both the results of the theoretical analysis and the experiments show the bistatic SAR could detect the dihedral corners, under a certain bistatic angle which is related to the geometry of target structures.

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“…Due to reciprocity [28], by the collected response for a target-Rx configuration in NF, it is possible to derive the behavior in NF also for the target-Tx. It is finally worth noting that the proposed approach can be further generalized to the monitoring of wide ranges of airspace using a network of cooperating FSR sensors [33,34].…”

Section: Introductionmentioning

confidence: 99%

Forward Scatter Radar for Air Surveillance: Characterizing the Target-Receiver Transition from Far-Field to Near-Field Regions

et al. 2017

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A generalized electromagnetic model is presented in order to predict the response of forward scatter radar (FSR) systems for air-target surveillance applications in both far-field and near-field conditions. The relevant scattering problem is tackled by developing the Helmholtz-Kirchhoff formula and Babinet's principle to express the scattered and the total fields in typical FSR configurations. To fix the distinctive features of this class of problems, our approach is applied here to metallic targets with canonical rectangular shapes illuminated by a plane wave, but the model can straightforwardly be used to account for more general scenarios. By exploiting suitable approximations, a simple analytical formulation is derived allowing us to efficiently describe the characteristics of the FSR response for a target transitioning with respect to the receiver from far-field to near-field regions. The effects of different target electrical sizes and detection distances on the received signal, as well as the impact of the trajectory of the moving object, are evaluated and discussed. All of the results are shown in terms of quantities normalized to the wavelength and can be generalized to different configurations once the carrier frequency of the FSR system is set. The range of validity of the proposed closed-form approach has been checked by means of numerical analyses, involving comparisons also with a customized implementation of a full-wave commercial CAD tool. The outcomes of this study can pave the way for significant extensions on the applicability of the FSR technique.

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Improved Reconstruction of Radio Holographic Signal for Forward Scatter Radar Imaging

Cited by 4 publications

References 22 publications

Complex forward scattering coefficient for signal characterisation

Complex forward scattering coefficient for signal characterisation

Accurate Analysis of Target Characteristic in Bistatic SAR Images: A Dihedral Corner Reflectors Case

Forward Scatter Radar for Air Surveillance: Characterizing the Target-Receiver Transition from Far-Field to Near-Field Regions

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