scholarly journals Optical excitation fractional Fourier transform (FrFT) based enhanced thermal-wave radar imaging (TWRI)

2018 ◽  
Vol 26 (17) ◽  
pp. 21403 ◽  
Author(s):  
Fei Wang ◽  
Yonghui Wang ◽  
Junyan Liu ◽  
Yang Wang
Keyword(s):  
Fourier Transform ◽  
Thermal Wave ◽  
Fractional Fourier Transform ◽  
Optical Excitation ◽  
Radar Imaging ◽  
Wave Radar

Synthetic aperture radar imaging with fractional Fourier transform and channel equalization

2013 ◽  
Vol 23 (1) ◽  
pp. 151-175 ◽  
Author(s):  
M.G. El-Mashed ◽  
O. Zahran ◽  
M.I. Dessouky ◽  
M. El-Kordy ◽  
F.E. Abd El-Samie
Keyword(s):  
Fourier Transform ◽  
Synthetic Aperture Radar ◽  
Fractional Fourier Transform ◽  
Channel Equalization ◽  
Radar Imaging ◽  
Synthetic Aperture ◽  
Aperture Radar

scholarly journals Parameters Estimation of LFMCW Signals Based on Periodic Fractional Fourier Transform

2014 ◽  
Vol 8 (5) ◽  
pp. 143
Author(s):  
Ying Liu ◽  
Dianren Chen ◽  
Lei Chen
Keyword(s):  
Fourier Transform ◽  
Continuous Wave ◽  
Fractional Fourier Transform ◽  
Estimation Method ◽  
Observation Time ◽  
Parameters Estimation ◽  
Estimation Accuracy ◽  
True Parameter ◽  
Wave Radar ◽  
Output Snr

When using fractional Fourier transform (FrFT) to detect and estimate linear frequency-modulated continuous wave radar signals, two problems will appear: multiple peaks occur in FRFT image and the output SNR at the true parameter values does not increase when the observation time is longer than the signals period. A multiple period LFMCW signals parameters estimation method based on period FRFT (PFRFT) is studied in this paper. The PFRFT formula of multiple period LFMCW signals is given. The relationship among PFRFT output SNR, observation time and sample signals SNR is analyzed. The estimation accuracy formula of PFRFT is derived. At last, numerical simulation shows the effectiveness of the algorithm and PFRFT is superior to FRFT for estimating a multiple periods LFMCW signals.  

On the application of an optimized Frequency-Phase Modulated waveform for enhanced infrared thermal wave radar imaging of composites

2021 ◽  
Vol 138 ◽  
pp. 106411 ◽  
Author(s):  
Saeid Hedayatrasa ◽  
Gaétan Poelman ◽  
Joost Segers ◽  
Wim Van Paepegem ◽  
Mathias Kersemans
Keyword(s):  
Thermal Wave ◽  
Radar Imaging ◽  
Wave Radar ◽  
Frequency Phase
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