Reducing micro-Doppler effect in compressed sensing ISAR imaging for aircraft using limited pulses

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 b...

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Bibliographic Details
Published in:Electronics letters 2015-06, Vol.51 (12), p.937-939
Main Authors: Hou, Qingkai, Liu, Yang, Chen, Zengping
Format: Article
Language:English
Subjects:
Aircraft
Aircraft components
Algorithms
Compressed
compressed sensing
compressed sensing ISAR imaging
conventional range‐Doppler method
conventional RD method
cross‐range image reconstruction
CS‐based inverse synthetic aperture radar imaging
CS‐based ISAR imaging
CS‐based short‐time Fourier transform
defocusing
Detection
direct CS imaging
echoes
Fourier transforms
Image reconstruction
Imaging
L‐statistics‐based algorithm
mD effect
mD separation
microDoppler effect reduction
nonstationary parts
nonstationary scatterers
Radar imaging
Radar, sonar and navigation
random pulse repetition intervals
RD imaging
real data processing
simulated data processing
synthetic aperture radar
TF domain
TF spectrogram reconstruction
time‐frequency analysis
time‐frequency spectrogram
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Summary: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.
ISSN:0013-5194
1350-911X
1350-911X
DOI:10.1049/el.2015.0368