Real-time imaging algorithm for ship ISAR based on parameter estimation and sub-aperture selection

doi:10.7523/j.ucas.2022.016

Abstract

Abstract: Airborne inverse synthetic aperture radar (ISAR) imaging is a key technology for microwave imaging and classification of dynamic ships in long-range, all-day, all-weather conditions. Long-time accumulation can bring better signal-to-noise ratio and signal-to-noise ratio of ISAR images, but unknown motions such as ship's sway can significantly affect the long-time focusing effect. In response, this paper proposes a real-time processing method for ship imaging that combines ship motion parameter estimation and sub-aperture search. Based on the translation compensation, the rotational motion parameters of the ship are estimated based on the variation curves of the ship's Doppler spread, centerline slope and scattering point time-frequency curves, the optimal imaging aperture is extracted in real time, and the polar coordinate formatting and rotation compensation are combined with the parameter estimation to obtain clear images of the ship. The results show that compared with traditional imaging methods, this method can effectively improve the effect of long-period focus processing and acquire high-resolution ISAR ship images in real time.

Key words: inverse synthetic aperture radar (ISAR), real-time ship imaging, parameter estimation, optimal imaging sub-aperture

CLC Number:

TN957

SU Baihuaning, LIU Chang, WANG Chao. Real-time imaging algorithm for ship ISAR based on parameter estimation and sub-aperture selection[J]. Journal of University of Chinese Academy of Sciences, 2023, 40(5): 647-657.

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