A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets

A Monte Carlo-Based Iterative Extended Kalman Filter for Bearings-Only Tracking of Sea Targets

In this paper, a Monte Carlo (MC)-based extended Kalman filter is proposed for a two-dimensional bearings-only tracking problem (BOT). This problem addresses the processing of noise-corrupted bearing measurements from a sea acoustic source and estimates state vectors including position and velocity....

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Bibliographic Details
Main Authors: Sahab Edrisi, Javad Enayati, Abolfazl Rahimnejad, Stephen Andrew Gadsden
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
iterative extended Kalman filter (IEKF)
Monte Carlo (MC) simulation
position and velocity estimation
bearings-only tracking (BOT)
Online Access:https://www.mdpi.com/1424-8220/24/7/2087

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