An Electric Eel-Inspired 3D Underwater Localization System

To address challenges such as difficult nonlinear mapping and inverse problem solving in 3D underwater electric field localization, this paper proposes an innovative solution. Firstly, a correction mechanism is established to enhance model confidence, accounting for the inherent deviation between the actual engineering environment and the theoretical model. Secondly, a novel localization strategy, termed "dimensionality reduction and decoupling - partition mapping", is introduced. This strategy aims to break down the high-dimensional and complex spatial localization problem into several manageable low-dimensional sub-problems. Building on this, a data-driven algorithm based on "cascaded spatial partitioning"is designed. Experimental results demonstrate that the system delivers exceptional localization performance, achieving accurate spatial localization with an error margin of less than 3 cm. This study not only breaks through the application bottleneck of 3D underwater electric field localization technology, but also, by virtue of the high efficiency of the proposed algorithm, lays a solid foundation for the practical application of bionic electric field localization technology in more fields.