Open AccessInverse synthetic aperture radar imaging of targets with complex motion based on cubic Chirplet decomposition
Author(s) -
Wang Yong,
Zhao Bin,
Jiang Yicheng
Publication year - 2015
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2014.0086
Subject(s) - inverse synthetic aperture radar , synthetic aperture radar , radar imaging , computer science , signal (programming language) , computer vision , artificial intelligence , radar , azimuth , image formation , doppler effect , algorithm , pulse doppler radar , optics , physics , image (mathematics) , telecommunications , astronomy , programming language
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.