Adjusting multiple model neural filter for the needs of marine radar target tracking

The paper presents the research on establishing neural models of target movement. The models are to be adjusted to General Regression Neural Network, as such a filter is a base for multiple model neural filter, which is currently under development. The research presented are a part of the research project “Development of radar target tracking methods with the use of multiple model neural filtering” financed by Polish Ministry of Science and the paper is one of the series. The main goal of the presented research was to examine if different manoeuvring dynamics can be defined as a neural model by a network parameters. The research was conducted with Monte Carlo simulation.