基于大数据分析的复杂环境舰船导航方法

Design of ship navigation method in complex environment based on big data analysis

为了提升舰船作战能力,提出基于大数据分析的复杂环境舰船导航方法。利用舰船搭载传感器获取水域环境信息,采用栅格法构建复杂环境模型,基于大数据分析技术预处理舰船导航数据——时间归一化处理、误差改正处理与野值剔除处理,融合GPS与IMU数据,确定舰船导航当前的绝对位置。以舰船导航定位结果为依据,应用遗传算法获取最佳舰船航行路径,从而实现复杂环境舰船的导航。实验数据显示,本文方法舰船导航定位误差最小值为0.12%,舰船导航路径长度更短,更平滑,充分证实了本文方法舰船导航性能更佳。

In order to improve the combat capability of ships,the design and research of ship navigation method in complex environment based on big data analysis is proposed.Use sensors carried by ships to obtain water area environment information,use grid method to build complex environment model,preprocess ship navigation data based on big data analysis technology-time normalization processing,error correction processing and outlier elimination processing,integrate GPS and IMU data,determine the current absolute position of ship navigation,and use genetic algorithm to obtain the best ship navigation path based on ship navigation positioning results,Thus,the navigation of ships in complex environment is realized.The experimental data show that the minimum value of ship navigation and positioning error of the proposed method is 0.12%,and the length of ship navigation path is shorter and smoother,which fully proves that the proposed method has better ship navigation performance.