Localization of Deep Neural Network Model Based on Underwater Wireless Sensor Network
The underwater medium localization systems mainly relies on anchor nodes to simulate underwater passa-ges or targets,and has high performance requirements for wireless sensors deployed underwater.To further optimize the underwater medium localization system,deep neural networks are applied to underwater wireless sensors,and factors and indicators affecting localization accuracy are analyzed,such as channel variability,receiver noise level,number of neural network neurons,and received acoustic signal power utilization and covariance.Research has shown that the effectiveness of deep neural networks is best demonstrated when channel variability is low.
国家科技期刊平台
NSTL
万方数据
