Autonomous Noise Mitigation for Underwater Acoustic Networks

海洋监测在环境、科学、商业和军事方面越来越受到关注 应用.监测海港、河口和内陆水体尤为重要，因为 这些领域的高水平活动。为了监测海洋，正在部署远程传感器节点， 它们通常是为了探测特定的特征，如海洋哺乳动物、船只和 平台，甚至通信信号。为了扩大监测范围，一个传感器节点网络， 共享信息已部署。问题是水下声传感器会产生高度可变的噪声 由于环境条件的变化。每个节点检测的可靠性受到阻碍 当噪声功率干扰感兴趣的信号时。 在这项工作中，目标是开发一个自主的水下系统，监测和分析环境 噪声，并且自主地将其设置重新配置为变化的噪声条件。为了实现这一点，传感器 将开发用于监测水下噪声并表征其特性。不同的噪音缓解措施 将研究维持网络运行的技术。发展噪音缓解措施 算法，水下传播环境将使用仿真工具建模。此外，本发明还 有前途的算法将在硬件原型上实现，并在现实的水下进行测试 条件

Ocean monitoring is receiving increased interest for environmental, scientific, commercial and military applications. It is particularly important to monitor seaports, estuaries and in-land bodies of water because of the high level of activity in these areas. To monitor the ocean, remote sensor nodes are being deployed for extended periods of time and are often meant to detect specific signatures, such as marine mammals, ships and platforms, or even communication signals. To extend the monitoring range, a network of sensor nodes that share information is deployed. The problem is that underwater acoustic sensors incur highly variable noise conditions, due to changes in the environmental conditions. The reliability of detection at each node is thwarted when the noise power overwhelms the signal of interest. In this work, the objective is to develop an autonomous underwater system that monitors and analyzes ambient noise and that autonomously re-configures its settings to the varying noise conditions. To achieve this, a sensor will be developed to monitor the underwater noise and to characterize its properties. Different noise mitigation techniques will be studied to maintain the operation of the network. To develop the noise mitigation algorithms, the underwater propagation environment will be modeled using simulation tools. Further, promising algorithms will be implemented on hardware prototypes, and tested in realistic underwater conditions.