An ISAR Imaging Algorithm for Nonuniformly Rotating Targets With Low SNR Based on Modified Bilinear Parameter Estimation of Cubic Phase Signal

For nonuniformly rotating target in the low signal-to-noise ratio (SNR) environment, the inverse synthetic aperture radar (ISAR) imaging is a challenging task due to the Doppler spread induced by time-varying rotation. In this paper, an effective modified bilinear parameter estimation algorithm is p...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2018-12, Vol.54 (6), p.3108-3124
Hauptverfasser:	Lv, Qian, Su, Tao, He, Xuehui
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Azimuth Chirp Computer simulation Cubic phase signal (CPS) Doppler effect Echoes Fast Fourier transformations Fourier transforms Image reconstruction Imaging integrated parametric cubic phase function (IPCPF) Inverse synthetic aperture radar inverse synthetic aperture radar (ISAR) nonuniform fast Fourier transform (NUFFT) Parameter estimation Parameter modification Radar data Radar imaging Regression analysis Rotation Signal to noise ratio Target recognition
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