Phase Shift Migration with Modified Coherent Factor Algorithm for MIMO-SAR 3D Imaging in THz Band
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 cohere...
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| Published in | Remote sensing (Basel, Switzerland) Vol. 13; no. 22; p. 4701 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Basel
MDPI AG
01.11.2021
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2072-4292 2072-4292 |
| DOI | 10.3390/rs13224701 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Wu, Shiyou Fang, Guangyou Yang, Guan Li, Chao Zheng, Shen Liu, Xiaojun |
| Author_xml | – sequence: 1 givenname: Guan surname: Yang fullname: Yang, Guan – sequence: 2 givenname: Chao orcidid: 0000-0001-5230-3431 surname: Li fullname: Li, Chao – sequence: 3 givenname: Shiyou surname: Wu fullname: Wu, Shiyou – sequence: 4 givenname: Shen surname: Zheng fullname: Zheng, Shen – sequence: 5 givenname: Xiaojun surname: Liu fullname: Liu, Xiaojun – sequence: 6 givenname: Guangyou surname: Fang fullname: Fang, Guangyou |
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| SubjectTerms | Algorithms Approximation Arrays Coherence Computer applications Decomposition Domains Efficiency Image quality multiple-input-multiple-output synthetic aperture radar Phase shift phase shift migration Point spread functions prototypes Radar arrays Remote sensing Remote sensing systems Sidelobe reduction sidelobe suppression algorithm Sidelobes Synthetic aperture radar terahertz band Terahertz frequencies Three dimensional imaging Transmitters Wavelengths |
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| Title | Phase Shift Migration with Modified Coherent Factor Algorithm for MIMO-SAR 3D Imaging in THz Band |
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