Spectral‐factorisation Root‐MUSIC algorithm for super‐resolution ISAR imaging. Issue 20 (23rd September 2019)

• Record Type: Journal Article
• Authors: Liu, Qiuchen; Wang, Yong
• Is Part Of: Journal of engineering. Volume 2019:Issue 20(2019)
• Page Start: 7125
• Page End: 7129
• Publication Date: 2019-09-23
• Subjects: 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 -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2019.0575
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : 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.