船载导航仪器信息融合的研究

A Study on the Information fusion of the Shipborne Navigation Instruments

应用信息融合技术对船上多种导航传感器信息综合处理是解决信息过载,提高导航数据精度有效的技术途径。采用改 进的模糊径向基高斯函数神经网络算法,进行了AIS/GPS和雷达信息融合的研究。经融合处理后的数据精度提高了两个数 量级。这说明多传感器数据信息融合将是提高船舶导航信息的精度、可靠性的有效措施。

Applying Information Fusion Technology to process data from various navigation sensors on a vessel will be an effective technical approach to solve the information overloading issue and enhance the accuracy of navigation information. The improved model of radial basis Gause function neural network basing on adapting fuzzy systems is used, and offer a detailed algorithm of the information fusion of radar and AIS/GPS. It shows that the data accuracy improve obvious.