DocumentCode :
3569170
Title :
Sar optimum waveform design for target detection based on prior knowledge
Author :
Zhu, Bingqi ; Wang, Kaizhi ; Liu, Xingzhao
Author_Institution :
Dept. of Electron. Inf. & Electr. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2012
Firstpage :
111
Lastpage :
115
Abstract :
With the development of SAR technology, it is now possible to transmit proper waveforms according to different missions. In this paper, we apply the optimum waveform design method to meet the application of special known-target detection and aim at enhance the target detection rate. Not only transmitted waveforms, but also both range and azimuth matched filters are designed based on maximizing the signal to interference plus noise ratio (SINR). Three waveform design solutions are given theoretically corresponding to different situations, and numerical simulation results are presented to prove the accuracy and effectiveness of our algorithm. Then conclusions are drawn based on our analysis and simulations.
Keywords :
matched filters; numerical analysis; object detection; radar detection; SAR optimum waveform design; SINR; azimuth matched filters; numerical simulation; prior knowledge; signal to interference plus noise ratio; synthetic aperture radar; target detection rate enhancement; Azimuth; Clutter; Matched filters; Signal to noise ratio; Synthetic aperture radar; SAR system; SINR; matched filter; optimum waveform design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6334172
Link To Document :
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