| 郭启超,李风华,杨习山.基于子带二值加权累积的经验格林函数提取*[J].,2022,41(1):70-76 |
| 基于子带二值加权累积的经验格林函数提取* |
| empirical Green’s function extraction based on binary sub-band weighted stacking |
| 投稿时间：2021-03-15 修订日期：2022-01-04 |
| 中文摘要: |
| 提出一种基于子带二值加权累积的海洋环境噪声互相关函数（Noise Cross-correlation Function, NCF）提取经验格林函数（Empirical Green’s Function, EGF）方法。首先将每一快拍NCF在频域划分为多个子带，每个子带内根据EGF信噪比全局最优化准则，确定各快拍NCF的加权系数为0或1，将各子带的加权累积结果谱白化后在频域拼接，再反傅里叶变换得到时域EGF。子带二值加权累积方法实现了每一快拍NCF累积前的频率自适应选择，相比于已有的原始累积方法与时域二值加权累积算法，可以有效提高从较宽频率带宽的海洋环境噪声中提取EGF的信噪比。海试试验数据验证了该方法的有效性与优越性。 |
| 英文摘要: |
| A method to extract empirical Green’s function (EGF) from oceanic ambient noise cross-correlation function (NCF) based on sub-band binary weighted stacking is proposed. Firstly, each snapshot of NCF is divided into multiple sub-bands in the frequency domain. In each sub-band, the weighting coefficient of each snapshot NCF is determined to be 0 or 1 according to the global optimization of the signal-to-noise ratio of EGF. The stacked sub-band results are spectral whitened and spliced in the frequency domain, and then the inverse Fourier transform is used to obtain the time domain EGF. The sub-band binary weighted stacking method realizes the adaptive selection of the frequency of each snapshot of NCF before stacking. Compared with the original stacking method and the time-domain binary stacking algorithm, the proposed method can effectively improve the signal-to-noise ratio of EGF extracted from oceanic ambient noise with a relatively wide frequency bandwidth. The sea trial data verifies the effectiveness and superiority of the proposed method. |
| DOI：10.11684/j.issn.1000-310X.2022.01.008 |
| 中文关键词: 经验格林函数 噪声互相关函数 子带二值加权累积 |
| 英文关键词: empirical Green’s function noise cross-correlation function sub-band binary weighted stacking |
| 基金项目:国家自然科学基金项目（11974017、11874061） |
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