A Circular IMM Filter Applied to a Maneuvering Target
One of the main problem in maneuver detection in angle-only observation applications is the model change during the maneuver that creates a peak in the estimate error. We propose in this paper to estimate a vehicle’s heading using a Circular IMM defined in the bayesian framework and using the von Mises distribution. The performances of this novel filter is compared with a circular filter and a classical Kalman Filter in a Y shape road.
Year of publication: |
2018-06-02
|
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Authors: | El mokhtari, Karim ; Reboul, Serge ; Choquel, Jean-Bernard ; Amami, Benaissa ; Benjelloun, Mohammed |
Publisher: |
Techmind Research Society |
Subject: | estimation | tracking | statistical filtering | angular estimation | heading estimation | IMM | circular filter | circular IMM | maneuver detection |
Saved in:
Online Resource
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