频散、声场干涉结构、波导不变量与消频散变换

针对浅海环境中利用单深度接收信号自相关函数的Warping变换方法测距时易出现的多值性问题, 提出一种双深度Warping变换融合测距方法。该方法将双深度测量场的Warping变换提取结果与具有深度差异的拷贝场本征函数信息融合, 判别简正波干涉项模态, 提高测距的准确度。此外, 针对实际海洋环境中测量场Warping变换特征峰位置难以准确提取的问题, 将Warping变换的频率不变性与图像形态学方法结合以增强特征频率结构, 提高后续测距的稳健性。海试数据处理结果显示, 测距结果与实际距离符合较好, 表明所提方法具有实际可行性。

Computational ocean acoustics

In shallow-water environments, to address the issue of multi-value in estimating the distance of a sound source using the autocorrelation function Warping transform of single-depth receiver signal, a method of dual-depth Warping transform information fusion is proposed for distance measurement. This method integrates the Warping transform extraction results from the dual-depth measurement field with depth-differentiated eigenfunction information derived from the copy field, enabling the identification of the order of the normal modal interference terms, consequently enhancing the accuracy of distance measurement. Additionally, there is another need in accurately extracting the characteristic peak positions of the Warping transform in actual marine environments. In this study, the frequency invariance of Warping transform is jointly applied with image morphology to strengthen the characteristic frequency structure, thereby enhancing the robustness of ranging algorithm. The real-data experiments show that the ranging results align well with the ground truth, indicating that the proposed passive ranging method is feasible for practical application.