2026/06/01 by Zihao Zhou, Yang Shi, Yi Yang +7 · 1 voice
Earth and Planetary Sciences · Engineering · Environmental Science · #Marine animal studies overview #Underwater Acoustics Research #Underwater Vehicles and Communication Systems
paper · doi:10.1121/10.0044207
openalex publication_date 2026/06/01 · openalex created_date 2026/06/23 · openalex updated_date 2026/06/25
Passive acoustic localization using distributed mobile underwater sensor networks has emerged as an important research subject. This paper presents a bearings-only localization method for two distributed gliders equipped with conformal uniform circular arrays. The paper proposes a Sage-Husa adaptive extended Kalman filter (SHEKF) that dynamically estimates measurement noise covariance to handle different sensor measurement quality, enabling accurate localization. A deep ocean experiment was conducted in the South China Sea using two gliders separated by a 6.37 km baseline. The SHEKF method achieved a root-mean-square error of 0.58 km, demonstrating effective performance for underwater acoustic target localization.