Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations

Passive Underwater Target Tracking: Conditionally Minimax Nonlinear Filtering with Bearing-Doppler Observations

The paper presents an application of the Conditionally-Minimax Nonlinear Filtering (CMNF) algorithm to the online estimation of underwater vehicle movement given a combination of sonar and Doppler discrete-time noisy sensor observations. The proposed filter postulates recurrent “prediction–correctio...

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Bibliographic Details
Main Authors: Andrey Borisov, Alexey Bosov, Boris Miller, Gregory Miller
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
underwater target tracking
bearing-only measurements
bearing-Doppler measurements
port-starboard ambiguity
nonlinear filtering
conditionally minimax nonlinear filter
Online Access:https://www.mdpi.com/1424-8220/20/8/2257

Internet

https://www.mdpi.com/1424-8220/20/8/2257

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