Advances in acoustic technology and instrumentation now make it possible to explore
marine resources. As a significant component of ocean exploration, underwater acoustic …

Target tracking is a process that provides information about targets in a specific area and is
one of the key issues affecting the safety of any vehicle navigating in water. The main sensor …

Underwater target passive tracking has ubiquitous applications in oceanic fields for both
commercial and military purposes. The underwater wireless sensor networks (UWSNs) draw …

This study introduces a fuzzy based optimal state estimation approach. The new method is
based on two principles: Adaptive Unscented Kalman filter, and Fuzzy Adaptive …

In order to improve filtering precision and restrain divergence caused by sensor faults or
model mismatches for target tracking, a new adaptive unscented Kalman filter (N-AUKF) …

Abstract The strength of Generalized Pseudo Bayesian (GPB) algorithms is exploited in the
presented study to enhance the target tracking precision, effective model approximation and …

A Novel estimator called as Hybrid Unscented Kalman Filter (HUKF) is developed in the
paper to tackle the issue of passive target tracking in underwater scenarios using bearing …

Bearings-only target tracking is commonly used in many fields, like air or sea traffic
monitoring, tracking a member in a formation, and military applications. When tracking with …

Underwater navigation performance of Autonomous Underwater Vehicles (AUVs) strongly
affects the quality of the collected data. Scientific literature extensively addresses the AUV …

Machine learning, a rapidly growing field, has attracted numerous researchers for its ability
to automatically learn from and make predictions based on data. This manuscript presents …