BiLSTM-Attention-PFTBD: Robust Long-Baseline Acoustic Localization for Autonomous Underwater Vehicles in Adversarial Environments

BiLSTM-Attention-PFTBD: Robust Long-Baseline Acoustic Localization for Autonomous Underwater Vehicles in Adversarial Environments

The accurate and reliable localization and tracking of Autonomous Underwater Vehicles (AUVs) are essential for the success of various underwater missions, such as environmental monitoring, subsea resource exploration, and military operations. long-baseline acoustic localization (LBL) is a fundamenta...

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Bibliographic Details
Main Authors: Yizhuo Jia, Yi Lou, Yunjiang Zhao, Sibo Sun, Julian Cheng
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Drones
Subjects:
long-baseline acoustic localization (LBL)
autonomous underwater vehicles (AUVs)
particle filter (PF)
Track-Before-Detect (TBD)
BiLSTM
multi-head attention mechanism
Online Access:https://www.mdpi.com/2504-446X/9/3/204
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