Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch-Reference-Cited by-同舟云学术

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Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Weiss Amir¹,Singer Andrew C.²,Wornell Gregory W.¹

Affiliation:

1. Massachusetts Institute of Technology,Research Laboratory of Electronics

2. University of Illinois,Dept. of Electrical and Computer Engineering,Urbana-Champaign

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094981.pdf?arnumber=10094981

Reference29 articles.

1. Direct regressions for underwater acoustic source localization in fluctuating oceans

2. Model-based convolutional neural network approach to underwater source-range estimation

3. Underwater Acoustic Source Localization Using LSTM Neural Network

4. Underwater acoustic source localization using generalized regression neural network

5. A Machine Learning-Based Approach for Auto-Detection and Localization of Targets in Underwater Acoustic Array Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Optimization with Gaussian Processes for Robust Localization;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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