Recent developments on target tracking problems: A review

M Kumar, S Mondal - Ocean Engineering, 2021 - Elsevier
Recent progresses in the target tracking technology have changed current unmanned
systems into a realistic substitute to the conventional tracking systems. In this paper, existing …

Two stage particle filter for nonlinear Bayesian estimation

F Wang, J Zhang, B Lin, X Li - IEEE Access, 2018 - ieeexplore.ieee.org
The past several decades have witnessed the successful application of sequential Monte
Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in …

Towards an autonomous underwater vehicles test range: At-sea experimentation of bearing-only tracking algorithms

R Costanzi, D Fenucci, V Manzari, A Caiti… - Annual Reviews in …, 2018 - Elsevier
Underwater navigation performance of Autonomous Underwater Vehicles (AUVs) strongly
affects the quality of the collected data. Scientific literature extensively addresses the AUV …

Passive Radar Tracking in Clutter Using Range and Range-Rate Measurements

A Asif, S Kandeepan, RJ Evans - Sensors, 2023 - mdpi.com
Passive bistatic radar research is essential for accurate 3D target tracking, especially in the
presence of missing or low-quality bearing information. Traditional extended Kalman filter …

Comparative analysis of EKF and Particle Filter performance for an acoustic tracking system for AUVs exploiting bearing-only measurements

M Bresciani, R Costanzi, V Manzari… - Global Oceans 2020 …, 2020 - ieeexplore.ieee.org
This paper aims to compare different navigation state estimation approaches for the tracking
of an Autonomous Underwater Vehicle (AUV) based on Direction of Arrival (DoA) …

Adaptive filters for two-dimensional target tracking

M Kumar, S Mondal - International Journal of Space …, 2023 - inderscienceonline.com
In this work, well known existing estimation algorithms like extended Kalman filter (EKF) and
unscented Kalman filter (UKF) with different adaptive extensions are implemented on target …