神经网络算法在海底声源非线性特性的数学建模

Mathematical model of neural network algorithm in the nonlinear characteristics of underwater sound source

基于声源探测及目标检测跟踪系统在海底开发领域中的应用越来越广泛,而由于海水温度的不平衡以及海面多经衰落等影响,声波信号在海底的传输呈现非线性特性。本文在研究海下声波传输特性的基础上,利用神经网络对海底声波传输模型进行数学描述,并利用参数阵来建立声波非线性模型,最后对算法进行仿真分析。

The detection and tracking target system based on sound source is more and more widely used in the field of ocean development. Due to the imbalance of water temperature,acoustic signal has nonlinear characteristics at the bottom of the transmission. Existing descriptions of undersea acoustic generally use the parameter array directional technology,and neural network has good advantage to deal with nonlinear signal problems. This paper analyzes the ocean acoustic propagation characteristics,use neural network to describethe underwater acoustic transmission model,at last use the parameter array to establish a sound nonlinear model and simulate it.