重庆科技大学学报（自然科学版）2024，Vol.26Issue(6)：72-79,8.DOI:10.19406/j.issn.2097-4531.2024.06.011
基于水下无线传感器网络的深度神经网络模型定位研究
Localization of Deep Neural Network Model Based on Underwater Wireless Sensor Network
摘要
Abstract
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.关键词
水下无线传感器/深度神经网络/变异性/神经元/功率利用率/协方差/自由定位Key words
underwater wireless sensor/deep neural networks/variability/neurons/power utilization/covariance/localization分类
信息技术与安全科学引用本文复制引用
李泽山..基于水下无线传感器网络的深度神经网络模型定位研究[J].重庆科技大学学报（自然科学版）,2024,26(6):72-79,8.基金项目
内蒙古自治区自然科学基金项目"面向邮政行业大数据云端存储及多结构数据转换技术研究"(2020MS06029),"无线传感器网络定位技术关键问题研究"(2021LHMS06013) （2020MS06029）
内蒙古自治区关键技术攻关计划项目"远程控制地下供水管道漏水监测系统的实现"(2020GG0165) （2020GG0165）
