基于无线传感器网络的同时定位与跟踪

研究无线传感器网络在位置信息不确定时,同时定位无线传感器网络节点并跟踪移动目标。利用RSSI测量节点对之间的距离,多维定标技术根据距离矩阵完成传感器网络的初始定位。估计与更新阶段提出了压缩EKF滤波确定传感器节点位置和目标位置。仿真结果显示:算法在较低的网络覆盖率下有较高的定位和跟踪准确度,在初始定位误差为5m时,节点和跟踪误差均小于3m,特别是在长距离的跟踪任务中有很好的精度和实时性。

Simultaneous localization and tracking based on wireless sensor networks

Simultaneous localization and tracking is studied to solute the problem of tracking a moving target in wireless sensor networks （WSNs） while simultaneously localizing the nodes of WSNs, while position information is uncertain. RSSI is used to measure distance between node pairs, multidimensional scaling techniques are used for the initial position of WSNs based on distance matrix. Then the compression EKF filtering is used to estimate and update sensor node position and target position. Simulation results show that the algorithm has high accuracy of localization and tracking under low network coverage rate. Although the initial positioning error is 5m,the node and the tracking error is less than 3 m especially for long distance tracking, this algorithm has good accuracy and realtime performance.