Sidelobe Suppression Featuring the Phase Coherence Factor in 3-D Through-the-Wall Radar Imaging

Abdullah, Mohd Zaid; Anwar, N. S. N.

doi:10.13164/re.2016.0730

Cited by 6 publications

(7 citation statements)

References 31 publications

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“…The grating lobes may be falsely detected or interfere the imaging of real targets. CF approach [4] is one of the simplest and most widely used methods to suppress the grating lobes. The CF weight of point q in the multi-channel imaging at the k th spatial sample is defined as …”

Section: Two-stage Cf Enhancement Methodsmentioning

confidence: 99%

“…As to the indoor radar imaging, the distribution of antennas may not satisfy the spatial sampling theorem, which induces significant grating lobes as interference to real targets and decreases the imaging quality. Coherence factor (CF) is one of the most common used corrections to suppress grating lobes, including traditional CF approach, phase CF approach [4], sign CF approach [5], etc. While these methods are effective, they may also blank the real targets in the MIMO-SAR system due to the spatial fluctuation of targets in the imaging results of different channels.…”

Section: Introductionmentioning

confidence: 99%

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Enhanced Imaging of Building Interior for Portable MIMO Through-the-wall Radar

Song

Zhu

et al. 2018

J. Phys.: Conf. Ser.

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Abstract. Portable multi-input multi-output (MIMO) radar system is able to imaging the building interior through aperture synthesis. However, significant grating lobes are invoked in the directly imaging results, which may deteriorate the imaging quality of other targets and influence the detail information extraction of imaging scene. In this paper, a two-stage coherence factor (CF) weighting method is proposed to enhance the imaging quality. After obtaining the sub-imaging results of each spatial sampling position using conventional CF approach, a window function is employed to calculate the proposed "enhanced CF" adaptive to the spatial variety effect behind the wall for the combination of these sub-images. The real data experiment illustrates the better performance of proposed method on grating lobes suppression and imaging quality enhancement compare to the traditional radar imaging approach.

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Section: Two-stage Cf Enhancement Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhanced Imaging of Building Interior for Portable MIMO Through-the-wall Radar

Song

Zhu

et al. 2018

J. Phys.: Conf. Ser.

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“…In radar imaging systems, common methods to improve image quality include subarray [29,30], coherence factor (CF) [31] and its variants [32,33]. The sub-array approach can suppress the sidelobe but widen the full width at half-maximum (FWHM).…”

Section: Introductionmentioning

confidence: 99%

Phase Shift Migration with Modified Coherent Factor Algorithm for MIMO-SAR 3D Imaging in THz Band

Yang

et al. 2021

Remote Sensing

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In multiple-input-multiple-output synthetic aperture radar (MIMO-SAR) systems, sparse arrays are usually applied, resulting in increased sidelobes of the point spread function. In this paper, a phase shift migration (PSM) imaging algorithm based on the explosion reflection model with modified coherent factor was proposed for sidelobe suppression in MIMO-SAR three-dimensional (3D) imaging application. By defining the virtual difference wavenumber, reconstructing the raw echo by data rearrangement in wavenumber domain, the original coherent factor algorithm operating in spatial domain can be achieved by the PSM algorithm frame in the wavenumber domain, which means two orders of magnitude increase in computational efficiency. The correctness of the theory is verified by simulation. Finally, a bistatic prototype imaging system in the 0.3 THz band was designed for the proof-of-principle experiments. The experimental results show that the proposed algorithm has a 0.948 structural similarity value to the original coherent factor back-projection algorithm (CF-BPA) which means comparable image quality with much superior efficiency.

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“…Since we use two types of diversities namely, angle and frequency, the sidelobes and ghosts of low-coherence features will be better suppressed compared with the original CF. This approach is also applicable to the phase coherence factor (PCF) [19] another commonly used method to suppress undesired image components [20]. It depends on the standard deviation of the complex exponential function in regard to the phase distribution of multiple antenna positions for an image pixel [21].…”

Section: Introductionmentioning

confidence: 99%

2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging

Amin

et al. 2020

IEEE Trans. Antennas Propagat.

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The coherence factor (CF) is defined as the ratio of coherent power to incoherent power received by the radar aperture. The incoherent power is computed by the multi-antenna receiver based on only the spatial variable. In this respect, it is a one-dimensional (1-D) CF, and thereby the image sidelobes in down-range cannot be effectively suppressed. We propose a two-dimensional (2-D) CF by supplementing the 1-D CF by an incoherent sum dealing with the frequency dimension. In essence, we employ both spatial diversity and frequency diversity which, respectively, enhance imaging quality in cross range and range. Simulations and experimental results are provided to demonstrate the performance advantages of the proposed approach.

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Sidelobe Suppression Featuring the Phase Coherence Factor in 3-D Through-the-Wall Radar Imaging

Cited by 6 publications

References 31 publications

Enhanced Imaging of Building Interior for Portable MIMO Through-the-wall Radar

Enhanced Imaging of Building Interior for Portable MIMO Through-the-wall Radar

Phase Shift Migration with Modified Coherent Factor Algorithm for MIMO-SAR 3D Imaging in THz Band

2-D Coherence Factor for Sidelobe and Ghost Suppressions in Radar Imaging

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