Title :
ISAR motion compensation via Parametric Compressed Sensing
Author :
Xiaochang Yu ; Wei Rao ; Gang Li ; Hao Zhang
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fDate :
April 29 2013-May 3 2013
Abstract :
Degeneration of inverse synthetic aperture radar (ISAR) image quality may be caused by rotational motion induced quadratic phase error (QPE). Traditional algorithms can´t correct the QPE well with smaller number of pulses. In this paper, the Parametric Compressed Sensing Least Square (PCS-LS) is proposed to compensate the QPE on each range bin and to reconstruct the image robustly. Mig-25 data is utilized to demonstrate the performance of the proposed algorithm.
Keywords :
compressed sensing; errors; image reconstruction; least squares approximations; motion compensation; synthetic aperture radar; ISAR image quality; Mig-25 data; PCS-LS; Parametric Compressed Sensing Least Square; inverse synthetic aperture radar; motion compensation; quadratic phase error; range bin; rotational motion induced QPE; Compressed sensing; Estimation; Imaging; Radar imaging; Robustness; Simulation; ISAR Imaging; Parametric Compressed Sensing; Rotational Motion Compensation;
Conference_Titel :
Radar Conference (RADAR), 2013 IEEE
Conference_Location :
Ottawa, ON
Print_ISBN :
978-1-4673-5792-0
DOI :
10.1109/RADAR.2013.6586048
