Combination of gated recurrent unit and network in network for underwater acoustic target recognition

Shuang Yang, Xiangyang Zeng

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Underwater acoustic target recognition is an important technical support for underwater acoustic information acquisition and confrontation. Taking the gated recurrent unit (GRU) into account which has an internal feedback mechanism reflecting the temporal correlation of underwater acoustic target features, a model combined with GRU and network in network (NIN) is proposed to recognize underwater acoustic targets. The proposed model integrates multi-channel information while compressing the hidden states of GRU, which enhances nonlinear fitting ability and local modeling ability of the network. Experiments based on measured underwater acoustic target signals show that the proposed model can achieve better classification performance than the multilayer stacked GRU model.

源语言英语
主期刊名Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering
编辑Tyler Dare, Stuart Bolton, Patricia Davies, Yutong Xue, Gordon Ebbitt
出版商The Institute of Noise Control Engineering of the USA, Inc.
ISBN(电子版)9781732598652
DOI
出版状态已出版 - 2021
活动50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021 - Washington, 美国
期限: 1 8月 20215 8月 2021

出版系列

姓名Proceedings of INTER-NOISE 2021 - 2021 International Congress and Exposition of Noise Control Engineering

会议

会议50th International Congress and Exposition of Noise Control Engineering, INTER-NOISE 2021
国家/地区美国
Washington
时期1/08/215/08/21

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