Study on Active Tracking of Underwater Acoustic Target Based on Deep Convolution Neural Network

Study on Active Tracking of Underwater Acoustic Target Based on Deep Convolution Neural Network

The active tracking technology of underwater acoustic targets is an important research direction in the field of underwater acoustic signal processing and sonar, and it has always been issued that draws researchers’ attention. The commonly used Kalman filter active tracking (KFAT) method is an effec...

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Bibliographic Details
Main Authors: Maofa Wang, Baochun Qiu, Zeifei Zhu, Huanhuan Xue, Chuanping Zhou
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
DCNN
active sonar
tracking
Kalman filtering
underwater acoustic targets
Online Access:https://www.mdpi.com/2076-3417/11/16/7530

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