Dong Yongkang, Yu Gaokun, Wang Ning
College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China.
J Acoust Soc Am. 2019 Dec;146(6):4131. doi: 10.1121/1.5134780.
It is well accepted that the conversion of an evanescent wave into a propagating wave is critical to far-field subwavelength imaging. However, subwavelength resolution can also be achieved using the multiple signal classification (MUSIC) algorithm for the situation of low conversion. In order to explore the difference of imaging performance between these two approaches, an acoustic superlens of length about one wavelength is designed to convert the evanescent wave into a propagating wave, which can be harnessed by the MUSIC algorithm. It is confirmed that the conversion of the evanescent wave into a propagating wave plays a role in improving the imaging resolution against noise, and the imaging resolution is improved by both the MUSIC algorithm and an acoustic superlens.
消逝波转换为传播波对于远场亚波长成像至关重要,这一点已得到广泛认可。然而,在低转换率的情况下,使用多重信号分类(MUSIC)算法也可以实现亚波长分辨率。为了探究这两种方法在成像性能上的差异,设计了一个长度约为一个波长的声学超透镜,用于将消逝波转换为传播波,该传播波可被MUSIC算法利用。结果证实,消逝波转换为传播波在提高成像分辨率以对抗噪声方面发挥了作用,并且MUSIC算法和声学超透镜都提高了成像分辨率。