The sound speed profile (SSP) is a key dynamic factor affecting underwater acoustic propagation, and it is crucial to obtain SSP accurately in real time. A new scheme to improve the reconstruction performance of sound speed profile with multi-source observations using self-organizing map (SOM) method was proposed in this study. Given that the inverted echo sounder (IES) data and mix layer depth (MLD) could respectively provide information on the integrated properties of the water column and SSP structure, we included the two parameters as the priori information to improve the SSP reconstruction performance of the SOM method. With the advantage of merging multi-source information, the SOM method showed significant improvement when including IES data and MLD as the priori information to reconstruct SSPs in the dynamic Kuroshio Extension region.

声速剖面（SSP）是影响水下声传播的关键动态因素，对于实时准确地获取SSP至关重要。提出了一种利用自组织映射（SOM）方法提高多源观测声速剖面重建性能的新方案。鉴于倒置回波测深仪（IES）数据和混合层深度（MLD）可以分别提供有关水柱和SSP结构的综合特性的信息，我们将这两个参数作为先验信息包括在内，以改善SSP构造的SSP重建性能。 SOM方法。利用合并多源信息的优势，当将IES数据和MLD作为先验信息包括在动态黑潮扩展区中重建SSP时，SOM方法显示出显着的改进。