Imaging algorithm for synthetic aperture interferometric radiometer in near field

Zhang, Cheng; Wu, Ji; Liu, Hao; Yan, Jingye

doi:10.1007/s11431-011-4403-3

Cited by 11 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the purpose of the variables separation, the distances R c n and R l n are usually unfolded by the Taylor expansion approximately [6,7,[16][17][18][19]. Then the difference between R c n and R l n can be expressed as…”

Section: The Regularization Methods Based On An Accuratementioning

confidence: 99%

“…Because regularization reconstructions of the SAIR with sparse arrays are an underdetermined problem, the accuracy of operation matrix G is very important for the reconstruction process. Now, the matrixes Gs are mostly established from the forward analysis of SAIR imaging process [15][16][17][18]. For the purpose of variables separation, some unnecessary approximations are adopted to simplify the G matrixes in different degrees.…”

Section: Introductionmentioning

confidence: 99%

“…The corresponding parameters are then corrected according to the root-mean square error (RMSE) between the imaging results of the reconstruction method and modified FFT method. Because only the phase-modified item is added to the FFT, which can be seen as the focusing operation for the MMW SAIR [17][18][19], the modified FFT method (one kind of the FFT-based methods) is insensitive to the change of those corresponding parameters. For verifying the effectiveness of the proposed accurate G matrix, the traditional regularization with the approximate G matrix is also tested for comparison.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Regularization Imaging Algorithm With Accurate G Matrix for Near-Field MMW Synthetic Aperture Imaging Radiometer

Chen¹,

Li²,

Wang³

et al. 2014

PIER B

View full text Add to dashboard Cite

Abstract-In order to improve the reconstruction accuracy of near-field SAIR, a novel regularization imaging algorithm based on an accurate G matrix is proposed in this paper. Due to the fact that the regularization reconstruction is usually an underdetermined problem, inaccurate operation matrix G will lead to great reconstruction error in the imaging results, or even the normal imaging cannot be obtained. In this paper, we establish an accurate G matrix based on the accurate imaging model of near-field SAIR. Compared with the traditional G matrix with some unnecessary approximations, the proposed G matrix without approximation can improve the reconstruction accuracy effectively. For improving the accuracy of matrix G further, the corresponding parameters are corrected according to the RMSE between the imaging results of the regularization method and modified FFT method which is not sensitive to the parameters' change. The effectiveness of this calibration method has been tested by 1D simulation experiments. Moreover, the 2D simulation experiments demonstrate that the proposed accurate G matrix can improve the imaging accuracy of regularization method effectively. Finally, the 1D imaging experiment is performed to test the effectiveness of the proposed method for the actual synthetic aperture imaging further.

show abstract

Section: The Regularization Methods Based On An Accuratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Regularization Imaging Algorithm With Accurate G Matrix for Near-Field MMW Synthetic Aperture Imaging Radiometer

Chen¹,

Li²,

Wang³

et al. 2014

PIER B

View full text Add to dashboard Cite

show abstract

“…Zhang et al [40] have proposed a method for near field image detection and reconstruction. The authors argued that the existing Fourier method did not support the expression of the closed-form nature, and hence cannot be employed for the near-field scenarios.…”

Section: Information Processing Technologies For Dementioning

confidence: 99%

Methodologies and applications in Digital China

2012

View full text Add to dashboard Cite

show abstract

“…To solve this problem, two methods have been reported: Corrected Fourier method introducing correction phase terms is able to provide accurate results by assuming point source condition but not for the cases of extended targets [7][8][9]. The alternative imaging method on the basis of Moore-Penrose pseudo inverse algorithm has been verified for the one-dimensional SAIR [10,11]. However, the image reconstruction problem is not well-posed, when the large number of antennas and large FOV are applied.…”

Section: Introductionmentioning

confidence: 99%

Near Field Image Reconstruction Algorithm for Passive Millimeter-Wave Imager Bhu-2d-U

Yao¹,

Zheng²,

Zhang³

et al. 2013

PIER C

View full text Add to dashboard Cite

Abstract-A passive millimeter-wave imager BHU-2D-U based on synthetic aperture interferometric radiometer (SAIR) technique has been developed by Beihang University. The imager is designed for detecting concealed weapons on human body and operated under the near-field condition of the antenna array, thus the conventional Fourier imaging theory does not apply. In this paper, an accurate numerical image reconstruction algorithm using regularization theory is proposed. By means of adding a prior information of desired brightness temperature image, the influences of measurement noise and focusing error on the reconstructed image have been reduced. Numerical simulations and experiments on BHU-2D-U have been performed to verify the superiorities of the proposed algorithm over the corrected Fourier method and the Moore-Penrose pseudo inverse method. The results demonstrate that the proposed method is an advantageous imaging algorithm for near-field millimeter-wave SAIR.

show abstract

Imaging algorithm for synthetic aperture interferometric radiometer in near field

Cited by 11 publications

References 13 publications

Regularization Imaging Algorithm With Accurate G Matrix for Near-Field MMW Synthetic Aperture Imaging Radiometer

Regularization Imaging Algorithm With Accurate G Matrix for Near-Field MMW Synthetic Aperture Imaging Radiometer

Methodologies and applications in Digital China

Near Field Image Reconstruction Algorithm for Passive Millimeter-Wave Imager Bhu-2d-U

Contact Info

Product

Resources

About