Title :
A novel helicopter-borne terahertz SAR imaging algorithm based on Keystone transform
Author :
Wang Huan ; Zhang Yuan ; Bingbing Wang ; Jinping Sun
Author_Institution :
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
Abstract :
The instability of helicopter flight brings motion errors in the conventional synthetic aperture radar (SAR) imaging. Combined with terahertz (THz) technology, the influence of range migration and low frequency motion error can be significantly reduced. However, it leads the system to be extremely sensitive to platform vibration, which causes paired echoes and deteriorates image quality. A method on platform vibration compensation is proposed in this paper. On the basis of the analytic formula derivation in 2-D frequency domain for the signal, Keystone transform is employed to perform range migration correction. Then platform vibration is compensated in range-Doppler domain. Finally, deghosted images are obtained. The simulation results validate the effectiveness.
Keywords :
airborne radar; frequency-domain analysis; helicopters; radar imaging; synthetic aperture radar; terahertz wave imaging; vibrations; 2D frequency domain; THz technology; analytic formula; deghosted images; helicopter flight; helicopter-borne terahertz SAR imaging algorithm; image quality; keystone transform; low frequency motion error; paired echoes; platform vibration compensation; range migration correction; range-Doppler domain; synthetic aperture radar imaging; Azimuth; Frequency modulation; Helicopters; Imaging; Synthetic aperture radar; Transforms; Vibrations; Keystone transform; helicopter; paired echoes; synthetic aperture radar (SAR); terahertz (THz);
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015335
