Title :
Improved clutter suppression for SAR imaging based on optimal waveform design method
Author :
Bingqi Zhu ; Hui Sheng ; Yesheng Gao ; Kaizhi Wang ; Xingzhao Liu
Author_Institution :
Dept. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
In this paper, we proposed a clutter suppression algorithm for SAR imaging due to different target power spectrum density (PSD) and clutter PSD in azimuth direction. The optimal waveform of the SAR system is designed according to the prior-knowledge of the target and clutter, an amplitude limiter set in frequency domain is used to suppress the clutter response and 2-dimentional pulse compression is then used to the SAR imaging. Simulated results are presented based on our method which is shown great improvement in target image over clutter image. Then conclusions are drawn based on our analysis and simulations.
Keywords :
data compression; frequency-domain analysis; image coding; interference suppression; pulse compression; radar clutter; radar imaging; synthetic aperture radar; 2-dimentional pulse compression; PSD; SAR imaging; amplitude limiter set; azimuth direction; frequency domain analysis; improved clutter suppression algorithm; optimal waveform design method; power spectrum density; Algorithm design and analysis; Chirp; Clutter; Optimized production technology; Radar polarimetry; Synthetic aperture radar; Optimal waveform; SAR imaging; amplitude limiter; clutter suppression;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
DOI :
10.1109/IGARSS.2014.6946511