Spectral-factorisation Root-MUSIC algorithm for super-resolution ISAR imaging
| Autor: | Qiuchen Liu, Yong Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0575 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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