Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging
Inverse synthetic aperture radar (ISAR) is widely used in both military and civil fields recently. The fast Fourier transformation is the conventional method to obtain high-resolution ISAR images, but it is Rayleigh limited and has high sidelobes. Root-MUSIC served as a super-resolution method can b...
Main Authors: | , |
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Format: | Article |
Language: | English |
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Wiley
2019-09-01
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Series: | The Journal of Engineering |
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Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0575 |
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author | Qiuchen Liu Yong Wang |
author_facet | Qiuchen Liu Yong Wang |
author_sort | Qiuchen Liu |
collection | DOAJ |
description | Inverse synthetic aperture radar (ISAR) is widely used in both military and civil fields recently. The fast Fourier transformation is the conventional method to obtain high-resolution ISAR images, but it is Rayleigh limited and has high sidelobes. Root-MUSIC served as a super-resolution method can break the Rayleigh limit. Whereas Root-MUSIC has computational redundancy as its roots are presented as conjugated pairs. Here, a spectral factorisation Root-MUSIC (SF-Root-MUSIC) is proposed for super-resolution ISAR imaging. SF-Root-MUSIC efficiently reduces the order of rooting-polynomial of Root-MUSIC into half and has a similar resolution ability as Root-MUSIC. The computational complexity of SF-Root-MUSIC is significantly reduced compared to Root-MUSIC. Simulated signal, MIG-25 data, and real measured Yak-42 data are employed to validate the validity of the proposal. |
first_indexed | 2024-12-14T00:36:47Z |
format | Article |
id | doaj.art-36c0cba88abe41c6baa134182a972541 |
institution | Directory Open Access Journal |
issn | 2051-3305 |
language | English |
last_indexed | 2024-12-14T00:36:47Z |
publishDate | 2019-09-01 |
publisher | Wiley |
record_format | Article |
series | The Journal of Engineering |
spelling | doaj.art-36c0cba88abe41c6baa134182a9725412022-12-21T23:24:35ZengWileyThe Journal of Engineering2051-33052019-09-0110.1049/joe.2019.0575JOE.2019.0575Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imagingQiuchen Liu0Yong Wang1Harbin Institute of TechnologyHarbin Institute of TechnologyInverse synthetic aperture radar (ISAR) is widely used in both military and civil fields recently. The fast Fourier transformation is the conventional method to obtain high-resolution ISAR images, but it is Rayleigh limited and has high sidelobes. Root-MUSIC served as a super-resolution method can break the Rayleigh limit. Whereas Root-MUSIC has computational redundancy as its roots are presented as conjugated pairs. Here, a spectral factorisation Root-MUSIC (SF-Root-MUSIC) is proposed for super-resolution ISAR imaging. SF-Root-MUSIC efficiently reduces the order of rooting-polynomial of Root-MUSIC into half and has a similar resolution ability as Root-MUSIC. The computational complexity of SF-Root-MUSIC is significantly reduced compared to Root-MUSIC. Simulated signal, MIG-25 data, and real measured Yak-42 data are employed to validate the validity of the proposal.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0575synthetic aperture radarmotion compensationimage resolutionpolynomialsfast fourier transformsradar imagingreal measured yak-42 datamig-25 datasimulated signalfast fourier transformrooting-polynomialsf-root-musicspectral factorisation root-musicsuper-resolution methodhigh-resolution isar imagessuper-resolution isar imagingfactorisation root-music algorithm |
spellingShingle | Qiuchen Liu Yong Wang Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging The Journal of Engineering synthetic aperture radar motion compensation image resolution polynomials fast fourier transforms radar imaging real measured yak-42 data mig-25 data simulated signal fast fourier transform rooting-polynomial sf-root-music spectral factorisation root-music super-resolution method high-resolution isar images super-resolution isar imaging factorisation root-music algorithm |
title | Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging |
title_full | Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging |
title_fullStr | Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging |
title_full_unstemmed | Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging |
title_short | Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging |
title_sort | spectral factorisation root music algorithm for super resolution isar imaging |
topic | synthetic aperture radar motion compensation image resolution polynomials fast fourier transforms radar imaging real measured yak-42 data mig-25 data simulated signal fast fourier transform rooting-polynomial sf-root-music spectral factorisation root-music super-resolution method high-resolution isar images super-resolution isar imaging factorisation root-music algorithm |
url | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0575 |
work_keys_str_mv | AT qiuchenliu spectralfactorisationrootmusicalgorithmforsuperresolutionisarimaging AT yongwang spectralfactorisationrootmusicalgorithmforsuperresolutionisarimaging |