期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：7
页码：203-212
DOI：10.14257/ijsip.2016.9.7.17
出版社：SERSC
摘要：According to the inherent deficiency of traditional beamformer on anti-noise and lateral resolution, this paper proposes a method based on the combination of Chirp-coded and adaptive dual focusing beamformer (CARDFB). Firstly, Chirp-coded technology is introduced to improve the transmitting average power, and then the dual focusing beamformer and adaptive beamformer are combined to obtain a higher quality beamforming signal. Finally, the signal filtered with matched filter is used for imaging. Experimental results indicate that the proposed CARDFB algorithm can achieve higher lateral resolution, better main-to-side lobe ratio and are more robust to noise compared with traditional dynamic focusing combined with adaptive focusing beamformer.
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