Submarine Cable Target Search Based on Improved Biological Neural Network

In this study, we propose an innovative control algorithm leveraging an improved biological neural network for submarine cable target search tasks. This algorithm models the seafloor as a grid map, utilizing the neural network for simulation. Then a collaborative mechanism is designed to control the cooperative detection of multiple AUVs, which is able to avoid obstacles and cover the whole area to find the mission target, effectively improving the mission efficiency. The simulation results show that the proposed algorithm is able to search the submarine mission area with the presence of cables quickly and efficiently. The robustness and effectiveness of the cooperative mechanism are also verified, which can provide support for subsequent missions such as target striking.