Tracking an Underwater Object with Unknown Sensor Noise Covariance Using Orthogonal Polynomial Filters

Tracking an Underwater Object with Unknown Sensor Noise Covariance Using Orthogonal Polynomial Filters

In this manuscript, an underwater target tracking problem with passive sensors is considered. The measurements used to track the target trajectories are (i) only bearing angles, and (ii) Doppler-shifted frequencies and bearing angles. Measurement noise is assumed to follow a zero mean Gaussian proba...

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Bibliographic Details
Main Authors: Kundan Kumar, Shovan Bhaumik, Sanjeev Arulampalam
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Sensors
Subjects:
target motion analysis
bearings-only measurement
Doppler-shifted frequency
unknown measurement noise covariance
orthogonal polynomial
sigma point filters
Online Access:https://www.mdpi.com/1424-8220/22/13/4970

Internet

https://www.mdpi.com/1424-8220/22/13/4970

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