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An Improved Back Projection Method Based on Singular Value Decomposition and Minimum Entropy Deconvolution
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Yan NIU, Wei NIE, Mu ZHOU, Xiaolong YANG
Telecommunication Engineering | 2025, 65(11) : 1912 - 1920
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Telecommunication Engineering | 2025, 65(11): 1912-1920
• Electronics and Information Engineering •
An Improved Back Projection Method Based on Singular Value Decomposition and Minimum Entropy Deconvolution
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Yan NIU, Wei NIE, Mu ZHOU, Xiaolong YANG
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  • School of Communications and Information Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，China
Published: 2025-11-28 doi: 10.20079/j.issn.1001-893x.240707001
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To address the issue of synthetic aperture radar(SAR) images being susceptible to environmental noise,which leads to a reduction in the signal-to-noise ratio(SNR) at target locations,a method integrating singular value decomposition (SVD) and minimum entropy deconvolution (MED) to enhance the Back Projection(BP ) algorithm is proposed. Initially,the acquired echo signals undergo SVD, and a singular value matrix is obtained. By retaining only the first five singular values and reconstructing the echo signal matrix,an initial noise reduction is achieved. Subsequently,the signals are processed using MED filtering, where filter coefficients are iteratively updated to minimize the entropy of the signal,thereby reducing the kurtosis of the output signal and suppressing noise. A Zero-Phase Filter(ZPF) is then applied to restore any phase delays. Finally, the SAR image is generated using the BP algorithm. Experimental results demonstrate that this method significantly enhances the SNR at target locations,with improvements of 7.9 dB and 9.1 dB for large and small corner reflectors,respectively.

synthetic aperture radar（SAR）  /  back projection  /  singular value decomposition  /  minimum entropy deconvolution（MED）  /  zero-phase filter（ZPF）
Yan NIU, Wei NIE, Mu ZHOU, Xiaolong YANG. An Improved Back Projection Method Based on Singular Value Decomposition and Minimum Entropy Deconvolution[J]. Telecommunication Engineering, 2025 , 65 (11) : 1912 -1920 . DOI: 10.20079/j.issn.1001-893x.240707001
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Year 2025 volume 65 Issue 11
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doi: 10.20079/j.issn.1001-893x.240707001
  • Receive Date：2024-07-07
  • Online Date：2026-04-15
  • Published：2025-11-28
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  • Received：2024-07-07
  • Revised：2024-11-06
Affiliations
    School of Communications and Information Engineering，Chongqing University of Posts and Telecommunications，Chongqing 400065，China
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