SAR 3D scene reconstruction using Fourier imaging techniques

Halcrow, Gavin; Mulgrew, Bernie

doi:10.1049/ic:20060075

Cited by 3 publications

(1 citation statement)

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“…Because of the Fourier transform relation between a(x, y) and A(k x , k y ), the sidelobe performance of PSF is determined by the distribution of spatial spectrum [9]. 2-D sidelobes of PSF given by eq.…”

Section: Point Spread Functionmentioning

confidence: 99%

Sidelobe reduction based on spectrum reshaping in microwave imaging

Zhu

2010

Sci. China Inf. Sci.

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Sidelobe artifacts are a common problem in image reconstruction from finite-extent Fourier data obtained by microwave imaging system. In order to enhance the image quality, sidelobe reduction must be implemented. Taking the sidelobe reduction in microwave imaging as the research subject, this paper presents Fourier imaging technique firstly. Then the point spread function is obtained through Fourier inversion of rectangular spectral support data and the changing effect of sidelobe direction due to reshaping spectral support is demonstrated. Spectrum reshaping makes that the sidelobes of two Fourier images do not overlap. Based on the idea of separating sidelobes from mainlobe, a nolve method that reduces sidelobe levels while maintaining the imaging resolution is proposed. The performance of this method is analyzed. Finally, the simulated and measured data of typical microwave imaging systems such as synthetic aperture radar (SAR), inverse synthetic aperture radar (ISAR) and real aperture radar are used to demonstrate the validity of the proposed method. CitationWang H J, Su Y, Xu H B, et al. Sidelobe reduction based on spectrum reshaping in microwave imaging.

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Section: Point Spread Functionmentioning

confidence: 99%

Sidelobe reduction based on spectrum reshaping in microwave imaging

Zhu

2010

Sci. China Inf. Sci.

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Mimo radar imaging model and algorithm

Lei

Huang

2009

J. Electron.(China)

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Based on the array architecture of multiple transmitting/receiving antennas, Multi-Input Multi-Output (MIMO) radar provides a new mechanism for radar imaging technology. In order to explore the processing approach to this imaging mechanism, the two dimensional (2D) imaging model of MIMO radar is established first, and the spatial sampling ability is analyzed from the concept of spatial convolution of the antenna elements. The target spatial spectral filling format of MIMO radar with monochromatic transmitting signal is described. High-resolution imaging capability of MIMO radar is analyzed according to spatial spectral coverage and the corresponding imaging algorithm is presented. Finally, field imaging experiment is used to demonstrate the superior imaging performance of MIMO radar.

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FMCW radar near field three-dimensional imaging

Yang

Thompson

Huang

et al. 2012

2012 IEEE International Conference on Communications (ICC)

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A system with 3-D imaging capability can be implemented by using a frequency modulated continuous wave (FMCW) radar which synthesizes a two-dimensional (2-D) planar aperture. A millimeter-wave FMCW three-dimensional (3-D) imaging system can be used for the detection of concealed weapons and contrabands at airports or other security checkpoints, since millimeter-wave can readily penetrate common clothing material. A 3-D image can be formed by coherently integrating the backscatter data over the measured frequency bandwidth and the two spatial coordinates of the 2-D synthetic aperture. This paper presents a 3-D imaging algorithm for near field FMCW radar. This algorithm is an extension of the 2-D range migration algorithm (RMA). We derive the formulation in detail by using the principle of stationary phase (POSP). A 3-D version Stolt interpolation is used in this algorithm. Accurate image reconstruction and high computational efficiency of this algorithm are demonstrated through simulation results.

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SAR 3D scene reconstruction using Fourier imaging techniques

Cited by 3 publications

References 0 publications

Sidelobe reduction based on spectrum reshaping in microwave imaging

Sidelobe reduction based on spectrum reshaping in microwave imaging

Mimo radar imaging model and algorithm

FMCW radar near field three-dimensional imaging

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