The adaptive constant false alarm rate for sonar target detection based on back propagation neural network access

The adaptive constant false alarm rate for sonar target detection based on back propagation neural network access

Abstract With oceanic reverberation and a large amount of data being the main sources of interference for underwater acoustic target detection, it is difficult to obtain a more robust detection performance by relying on the traditional constant false alarm rate (CFAR) detection method. An adaptive s...

Full description

Bibliographic Details
Main Authors: Zhou Chen, Xianwen Zhao, Ziqi Zhou, Xuefei Ma, Qi Cheng, Xuan Cai, Bowang Jiang, Rahim Khan, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba
Format: Article
Language:English
Published: Hindawi-IET 2023-03-01
Series:IET Signal Processing
Subjects:
ocean waves
signal detection
signal processing
Online Access:https://doi.org/10.1049/sil2.12196

Internet

https://doi.org/10.1049/sil2.12196

Similar Items