Optimization of multiple model neural tracking filter for marine targets

被引：24

作者：

Kazimierski, Witold ^{[1
]}

Stateczny, Andrzej ^{[1
]}

机构：

[1] Maritime Univ Szczecin, Chair Geoinformat, Fac Nav, Szczecin, Poland

来源：

2012 13TH INTERNATIONAL RADAR SYMPOSIUM (IRS) | 2012年

关键词：

radar tracking; marine radar; neural networks; GRNN;

D O I：

10.1109/IRS.2012.6233382

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

The paper presents the research on optimizing multiple model neural filter with the use of Monte Carlo simulation. GRNN filters are used as elementary filters and different parameters of them are examined. The paper includes theoretical background of the research, analysis of a problem and a set of numerical experiments. The research was made with the use of Monte Carlo simulation. The results of the optimization can be used in further works with the filter and for final verification of the method.

引用

页码：543 / 548

页数：6

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