Improved reconstruction of radio holographic signal for forward scatter radar imaging

Cheng Hu; Changjiang Liu; Rui Wang; Tao Zeng

doi:10.3390/s16050651

Improved reconstruction of radio holographic signal for forward scatter radar imaging

Cheng Hu, Changjiang Liu, Rui Wang^*, Tao Zeng

^*Corresponding author for this work

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

Forward scatter radar (FSR), as a specially configured bistatic radar, is provided with the capabilities of target recognition and classification by the Shadow Inverse Synthetic Aperture Radar (SISAR) imaging technology. This paper mainly discusses the reconstruction of radio holographic signal (RHS), which is an important procedure in the signal processing of FSR SISAR imaging. Based on the analysis of signal characteristics, the method for RHS reconstruction is improved in two parts: the segmental Hilbert transformation and the reconstruction of mainlobe RHS. In addition, a quantitative analysis of the method’s applicability is presented by distinguishing between the near field and far field in forward scattering. Simulation results validated the method’s advantages in improving the accuracy of RHS reconstruction and imaging.

Original language	English
Article number	651
Journal	Sensors
Volume	16
Issue number	5
DOIs	https://doi.org/10.3390/s16050651
Publication status	Published - 7 May 2016

Keywords

Forward scatter radar
Hilbert transform
Radar imaging
Radio holographic signal

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10.3390/s16050651

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title = "Improved reconstruction of radio holographic signal for forward scatter radar imaging",

abstract = "Forward scatter radar (FSR), as a specially configured bistatic radar, is provided with the capabilities of target recognition and classification by the Shadow Inverse Synthetic Aperture Radar (SISAR) imaging technology. This paper mainly discusses the reconstruction of radio holographic signal (RHS), which is an important procedure in the signal processing of FSR SISAR imaging. Based on the analysis of signal characteristics, the method for RHS reconstruction is improved in two parts: the segmental Hilbert transformation and the reconstruction of mainlobe RHS. In addition, a quantitative analysis of the method{\textquoteright}s applicability is presented by distinguishing between the near field and far field in forward scattering. Simulation results validated the method{\textquoteright}s advantages in improving the accuracy of RHS reconstruction and imaging.",

keywords = "Forward scatter radar, Hilbert transform, Radar imaging, Radio holographic signal",

author = "Cheng Hu and Changjiang Liu and Rui Wang and Tao Zeng",

note = "Publisher Copyright: {\textcopyright} 2016 by the authors; licensee MDPI, Basel, Switzerland.",

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T1 - Improved reconstruction of radio holographic signal for forward scatter radar imaging

AU - Hu, Cheng

AU - Liu, Changjiang

AU - Wang, Rui

AU - Zeng, Tao

PY - 2016/5/7

Y1 - 2016/5/7

N2 - Forward scatter radar (FSR), as a specially configured bistatic radar, is provided with the capabilities of target recognition and classification by the Shadow Inverse Synthetic Aperture Radar (SISAR) imaging technology. This paper mainly discusses the reconstruction of radio holographic signal (RHS), which is an important procedure in the signal processing of FSR SISAR imaging. Based on the analysis of signal characteristics, the method for RHS reconstruction is improved in two parts: the segmental Hilbert transformation and the reconstruction of mainlobe RHS. In addition, a quantitative analysis of the method’s applicability is presented by distinguishing between the near field and far field in forward scattering. Simulation results validated the method’s advantages in improving the accuracy of RHS reconstruction and imaging.

AB - Forward scatter radar (FSR), as a specially configured bistatic radar, is provided with the capabilities of target recognition and classification by the Shadow Inverse Synthetic Aperture Radar (SISAR) imaging technology. This paper mainly discusses the reconstruction of radio holographic signal (RHS), which is an important procedure in the signal processing of FSR SISAR imaging. Based on the analysis of signal characteristics, the method for RHS reconstruction is improved in two parts: the segmental Hilbert transformation and the reconstruction of mainlobe RHS. In addition, a quantitative analysis of the method’s applicability is presented by distinguishing between the near field and far field in forward scattering. Simulation results validated the method’s advantages in improving the accuracy of RHS reconstruction and imaging.

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KW - Hilbert transform

KW - Radar imaging

KW - Radio holographic signal

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Improved reconstruction of radio holographic signal for forward scatter radar imaging

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Keywords

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