Xiaoying Fu1,2,3, Dajun Sun1,2,3, Tingting Teng1,2,3

  • 1National Key Laboratory of Underwater Acoustic Technology, Harbin Engineering University, Harbin 150001, China.

概括

这项研究引入了改进的神经网络,用于在水下声学中高分辨率的到达方向 (DOA) 估计. 该方法提高了准确性和稳定性,即使在具有挑战性的低信号噪声比条件下.