Statistical Analysis of Simulated Radar Target's Movement for the Needs of Multiple Model Tracking Filter

ABSTRACT: The quality of radar target tracking has a great impact on navigational safety at sea. There are many tracking filters used in maritime radars. Large group of them are multiple model filters in which different filter parameters are used for different states (models) of vessel movement. One of possible filter is multiple model neural filter based on General Regression Neural Network. Tuning of such filter means to adjust its parameters for a suitable target movement model. This paper shows the results of an experiment aiming at determining such models based on statistical analysis of target's movement parameters. The research has been carried out with PC-based simulator in which typical radar measuring errors were implemented. Different manoeuvres of targets have been examined. Based on this, the possibility of movement models description has been stated as conclusion.

KEYWORDS: ARPA, Navigational Equipment, Radar Equipment, Simulated Radar Target's Movement, Radar Target, Multiple Model Tracking Filter, Tracking of Maneuvering Targets, Statistical Analyse

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Citation note:

Kazimierski W.: Statistical Analysis of Simulated Radar Target's Movement for the Needs of Multiple Model Tracking Filter. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 5, No. 3, pp. 329-334, 2011

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