Open AccessReducing micro‐Doppler effect in compressed sensing ISAR imaging for aircraft using limited pulses
Author(s) -
Hou Qingkai,
Liu Yang,
Chen Zengping
Publication year - 2015
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2015.0368
Subject(s) - inverse synthetic aperture radar , compressed sensing , pulse repetition frequency , spectrogram , doppler effect , computer science , radar imaging , synthetic aperture radar , range (aeronautics) , fourier transform , computer vision , iterative reconstruction , pulse doppler radar , artificial intelligence , radar , physics , materials science , telecommunications , quantum mechanics , composite material , astronomy
In compressed sensing (CS)‐based inverse synthetic aperture radar (ISAR) imaging for aircraft, the image of the target can be reconstructed using fewer pulses with random pulse repetition intervals than with the conventional range‐Doppler (RD) method. However, the micro‐Doppler (mD) effect induced by the non‐stationary parts of aircraft still causes defocusing as in RD imaging. A method is proposed to reduce the mD effect in CS ISAR imaging. The CS‐based short‐time Fourier transform is deployed to reconstruct the time‐frequency (TF) spectrogram of echoes. An L‐statistics‐based algorithm is applied to separate the non‐stationary scatterers from a rigid main body in the TF domain. Furthermore, the CS algorithm is used to reconstruct the cross‐range image of the main body after mD separation. Compared with direct CS imaging without mD removal, a better image can be obtained. The results of both simulated and real data processing demonstrate the validity of the proposed method.