摘要
为了将海上交通信息的采集、处理、传输通过无线网络进行互联,实现航标的数字化、信息化、网络化,提出一种应用加权最小二乘法和卡尔曼滤波相结合的RSSI定位优化算法,实现网络节点定位.仿真结果分析表明:该算法适用于航标系统的节点定位,定位精度满足要求.
Navigation mark system based on wireless sensor networks could carry out maritime traffic information collection, processing and transmission through the wireless network to realize the number of navigation mark, information and network. Buoy sensor node＇s position was one of the key technologies of the system. This paper proposed an application of weighted least squares method and Kalman filter combination of RSSI positioning optimization algorithms to achieve network node localization. Simulation results analysis showed that the algorithm was applied to navigation mark system and that the positioning accuracy meet the requirements.
出处
《集美大学学报（自然科学版）》
CAS
2010年第3期190-193,共4页
Journal of Jimei University：Natural Science
基金
福建省科技计划项目(2008H0032)
福建省教育厅科技项目(JA08144)
关键词
航标系统
节点定位
加权最小二乘法
扩展卡尔曼滤波
定位精度
navigation mark system
node localization
weighted least squares method
EKF
positioning accuracy
