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...
Main Authors: | Yue Guo, Rui Duan, Kunde Yang |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-07-01
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Series: | IET Radar, Sonar & Navigation |
Subjects: | |
Online Access: | https://doi.org/10.1049/rsn2.12248 |
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