Inverse synthetic aperture radar imaging of targets with complex motion based on cubic Chirplet decomposition
- Author(s): Yong Wang 1 ; Bin Zhao 1 ; Yicheng Jiang 1
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View affiliations
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Affiliations:
1:
Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin 150001, People's Republic of China
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Affiliations:
1:
Research Institute of Electronic Engineering Technology, Harbin Institute of Technology, Harbin 150001, People's Republic of China
- Source:
Volume 9, Issue 5,
July 2015,
p.
419 – 429
DOI: 10.1049/iet-spr.2014.0086 , Print ISSN 1751-9675, Online ISSN 1751-9683
High resolution inverse synthetic aperture radar (ISAR) imaging of targets with complex motion is a main topic in the radar imaging domain. In fact, the traditional range-Doppler algorithm is not appropriate to generate a focused ISAR images because of the time-varying Doppler shifts caused by the target's complex motion. In this study, the azimuth received signal is modelled as multi-component amplitude-modulated and frequency-modulated (AM–FM) signal, and a novel algorithm for the cubic Chirplet decomposition based on generalised cubic phase function is proposed to investigate the AM–FM signal analytically. Then, the corresponding ISAR imaging algorithm associated with the range-instantaneous-Doppler technique is proposed. Results of simulated and real data demonstrate the effectiveness of the presented algorithm.
Inspec keywords: amplitude modulation; polynomials; radar imaging; Doppler radar; synthetic aperture radar; frequency modulation; Doppler shift; geometry; motion compensation; transforms
Other keywords: ISAR imaging algorithm; polynomial chirplet transform; AM-FM signal; cubic chirplet decomposition; time-varying Doppler shifts; complex motion; high resolution inverse synthetic aperture radar imaging; translational motion compensation; generalised cubic phase function; multicomponent amplitude-modulated-and-frequency-modulated signal; azimuth received signal modeling; range-instantaneous-Doppler technique
Subjects: Combinatorial mathematics; Radar equipment, systems and applications; Modulation and coding methods; Integral transforms; Algebra; Optical, image and video signal processing
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