Robust Dual Target Range Estimation Method of Vertical Array Using Residual Convolution Neural Network

Qihai Yao, Yong Wang, Yixin Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the actual marine environment, it is often necessary to locate multiple underwater targets at the same time. Aiming at the problem of simultaneous localization of multiple sound sources, this paper studies the double target range estimation scene in the same depth and uses normal wave model to generate the underwater acoustic data of dual targets. The range estimation of dual targets in the same sea area and different sea areas is carried out, and two frequency combinations of dual targets, namely 280/385Hz and 49/388Hz, are taken as examples to analyze the impact of different frequencies on the range estimation results. The network structure adopts the convolution neural network (CNN) with residual connection. The simulation results show that the residual CNN model can effectively realize the range estimation of dual targets in the same sea area and different sea areas, and the greater the frequency difference, the more accurate the range estimation results of the dual targets. Therefore, all results show that the proposed method has excellent performance for the dual target range estimation.

源语言英语
主期刊名Proceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022
出版商Institute of Electrical and Electronics Engineers Inc.
742-747
页数6
ISBN(电子版)9798350336313
DOI
出版状态已出版 - 2022
活动14th International Conference on Signal Processing Systems, ICSPS 2022 - Virtual, Online, 中国
期限: 18 11月 202220 11月 2022

出版系列

姓名Proceedings - 2022 14th International Conference on Signal Processing Systems, ICSPS 2022

会议

会议14th International Conference on Signal Processing Systems, ICSPS 2022
国家/地区中国
Virtual, Online
时期18/11/2220/11/22

指纹

探究 'Robust Dual Target Range Estimation Method of Vertical Array Using Residual Convolution Neural Network' 的科研主题。它们共同构成独一无二的指纹。

引用此