Title :
A clutter suppression algorithm based on optimal waveform design for sar imaging
Author :
Bingqi Zhu ; Hui Sheng ; Yesheng Gao ; Kaizhi Wang ; Xingzhao Liu
Author_Institution :
Sch. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
A clutter suppression algorithm for SAR imaging is proposed in this paper. 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-dimensional pulse compression is then used to the SAR imaging. With the help of this algorithm, the SAR sensor has a strong adaptive capacity to the environment. Simulated results are presented based on our method and improvement in image is approached. Finally, the conclusions are drawn based on our analysis and simulations.
Keywords :
frequency-domain analysis; interference suppression; pulse compression; radar clutter; radar imaging; synthetic aperture radar; waveform analysis; 2D pulse compression; SAR imaging; SAR sensor; clutter suppression algorithm; frequency domain analysis; optimal waveform design; Algorithm design and analysis; Chirp; Clutter; Radar imaging; Radar polarimetry; Synthetic aperture radar; Optimal waveform; SAR imaging; amplitude limiter; clutter suppression;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2014 IEEE China Summit & International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4799-5401-8
DOI :
10.1109/ChinaSIP.2014.6889274