Title :
MIMO-SAR ground moving target imaging in HRWS mode
Author :
Chao Xie ; Libao Wang ; Dangwei Wang ; Ling Wang ; Yanfeng He
Author_Institution :
Air Force Early Warning Acad., Wuhan, China
Abstract :
This paper proposes a novel method for MIMO-SAR ground moving target imaging in HRWS Mode. In order to compensate the periodically modulated error signal in Doppler history due to the radial velocity of moving target, the compressed sensing theory is used to estimate radial velocity in undersampled signal firstly. Then, the compensation signal is formed with radical velocity to remove error signal in the whole Doppler signal. Finally, ground moving target imaging is achieved by using focusing function of moving target. The numerical experiments are provided to demonstrate the effectiveness of the proposed method.
Keywords :
Doppler radar; MIMO radar; compressed sensing; object detection; radar imaging; synthetic aperture radar; Doppler signal; HRWS mode; MIMO-SAR; compressed sensing theory; error signal; ground moving target imaging; radial velocity; Azimuth; Compressed sensing; Dictionaries; Doppler effect; Image reconstruction; Imaging; Synthetic aperture radar; HRWS; MIMO-SAR; compressed sensing; moving target;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015376
