摘要
传统系统采用PCA降维方法受到噪声影响,造成系统定位不准确,为了解决该问题,提出了基于Isomap算法的实时定位系统研究。根据实时定位系统总体结构,采用型号为CC2431芯片设计移动节点,路由节点可实时接收来自移动节点模块信息,进行灵敏度分析可完成信息传递。接收舱室内各个路由节点信息,通过协调模块验证信息有效性。针对协调模块获取高维数据,采用Isomap算法对数据进行降维处理,依据降维后的数据集,对远距离海上航行舱内人员进行实时定位。通过实验结果可知,该系统最高定位精准度可达到75%,为航行舱内人员安全提供保障。
The traditional PCA dimensionality reduction method is affected by noise, resulting in inaccurate positioning of the system. To solve this problem, a real-time positioning system based on Isomap algorithm is proposed. According to the overall structure of the real-time positioning system, the mobile node is designed with CC2431 chip. The routing node can receive the information from the mobile node module in real time, and the sensitivity analysis can complete the information transmission. The information of each routing node in the cabin is received, and the validity of the information is verified through the coordination module. Aiming at the high-dimensional data acquired by the coordination module, Isomap algorithm is used to reduce the dimension of the data. According to the reduced dimension data set, the real-time positioning of the personnel in the long-distance navigation cabin is carried out. The experimental results show that the highest positioning accuracy of the system can reach 75%, which provides a guarantee for the safety of personnel in the navigation cabin.
作者
申永祥
SHEN Yong-xiang(Yongzhou Vocational and Technical College, Yongzhou 425000, China)
出处
《舰船科学技术》
北大核心
2018年第12X期175-177,共3页
Ship Science and Technology
关键词
ISOMAP算法
舱内人员
定位
PCA降维方法
高维
Isomap algorithm
cabin personnel
location
PCA dimension reduction method
high dimension