Target depth estimation by deep neural network based on acoustic interference structure in deep water

Target depth estimation by deep neural network based on acoustic interference structure in deep water

Abstract Automatic and robust target depth estimation is an important issue of an active detection system working in the reliable acoustic path (RAP) environment. In this paper, the target depth‐sensitive acoustic interference structure is used as input, and a deep neural network (DNN) method is pro...

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Bibliographic Details
Main Authors: Yue Guo, Rui Duan, Kunde Yang
Format: Article
Language:English
Published: Wiley 2022-07-01
Series:IET Radar, Sonar & Navigation
Subjects:
active sonar
deep neural network
interference structure
reliable acoustic path
target depth estimation
Online Access:https://doi.org/10.1049/rsn2.12248

Internet

https://doi.org/10.1049/rsn2.12248

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