文献类型：期刊文献

中文题名：波导不变量谱值及其分离方法

英文题名：Concept of waveguide invariant spectrum and algorithm for its extraction

作者：宋文华[1];王宁[1];高大治[1];王好忠[1];屈科[2]

机构：[1]中国海洋大学海洋技术系,青岛266100;[2]广东海洋大学电子与信息工程学院,湛江524088

年份：2017

卷号：66

期号：11

起止页码：150

中文期刊名：物理学报

外文期刊名：Acta Physica Sinica

收录：SCI-EXPANDED(收录号：WOS:000403091100018)、CSTPCD、、北大核心2014、EI(收录号：20173103998764)、Scopus(收录号：2-s2.0-85026266894)、WOS、CSCD2017_2018、北大核心、CSCD

基金：Project supported by the National Natural Science Foundation of China (Grant Nos. 11674294, 11374271) and the Natural Science Foundation of Guangdong Province, China (Grant No. 2014A030310256).

语种：中文

中文关键词：波导不变量β谱;条纹斜率;条纹间距;积分投影

外文关键词：waveguide invariant spectrum, striation slope, striation separation distance, integral projec-tion

中文摘要：波导不变量有两种定义方式,按照干涉条纹斜率的定义适合工程应用,按照简正波频散的定义适合理论分析.在有跃层的波导中,这两种定义方式并不完全一致.由于简正波频散特性差异,按照频散特性定义的波导不变量β会有许多不同的取值,这些β被称为波导不变量的β谱.此时声场干涉结构应该用多个β来描述,而以往的β提取算法只能给出一个最佳估计值,导致一些信息的丢失.借鉴图像处理中的积分投影概念,将声强图像按照角度进行积分投影,以分离不同斜率的条纹成分;然后对投影曲线进行傅里叶变换,以分离不同间距的条纹成分,最终实现各个β谱值的分离.仿真和实验结果表明,β谱分离算法可以从声场干涉结构中有效地提取不同条纹成分的β,并将其映射到二维平面内,具有更强的噪声抑制能力,所以能在更低的信噪比条件下使用.

外文摘要：There are two kinds of definitions for waveguide invariant β. One is defined according to the striation slope of acoustic interference patterns, and the other is defined on the basis of dispersion characteristics of acoustic modes. The first definition is appropriate for engineering applications, while the second is suitable for theoretical analysis. However, the two definitions are not consistent with each other for a waveguide with thermoclines, because modal dispersion in such a waveguide can be very different for different modes and different frequencies. In such cases, the waveguide invariant defined according to modal dispersion can take many different values, which are referred to as the spectrum of waveguide invariant （β spectrum for short） in the paper. Each β spectrum can be related to some interference striation patterns with corresponding striation slopes. The sound field is composed of many modes, so the interference pattern is the summation of many components of different striation slopes and may be very complicated as a result of the diversity of β spectrum. In such a case one single β is not able to describe the complicated interference pattern adequately; instead multiple values of β spectrum are required. From the point of view of engineering application, however, the present β-extracting methods can only give one optimal value, and thus a lot of information is lost. In this paper an algorithm for doing so, called β spectrum separation technique, is proposed. By adopting the concept of integral projection used in digital image processing, the image of acoustic intensity is projected at different angles to separate out the striations of different slopes; and then fast Fourier transform （FFT） is applied to the projected curve in order to isolate striations of different spacing from each other. The values for β spectrum can be computed according to striation slopes, which are also mapped into the positions of their corresponding acoustic modal horizontal wavenumber differences in the wavenumber domain. The applicability of this algorithm for the extraction of β spectrum is tested and verified by simulation results and experiment data. It is shown that the algorithm can separate out each β spectrum of different intensity components from acoustic interference structure. The algorithm maps β spectrum into a two-dimensional plane thereby being able to suppress noise more effectively and work in the condition of low signal-to-noise ratio compared with the already-existing β-extracting algorithms.