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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Bibliografische gegevens
Hoofdauteurs:	Sahab Edrisi, Javad Enayati, Abolfazl Rahimnejad, Stephen Andrew Gadsden
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	MDPI AG 2024-03-01
Reeks:	Sensors
Onderwerpen:	iterative extended Kalman filter (IEKF) Monte Carlo (MC) simulation position and velocity estimation bearings-only tracking (BOT)
Online toegang:	https://www.mdpi.com/1424-8220/24/7/2087

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