将无线传感器网络与接收信号强度指示测距技术相结合,研究了移动目标的分布式跟踪算法。根据传感器节点与移动目标的相对位置,将节点动态组织成簇,簇头节点作为簇的数据处理中心,利用扩展卡尔曼滤波形成对移动目标位置的本地估计。随着目标的移动,本地估计在簇头节点间传递。仿真结果表明,基于无线传感器网络的分布式目标跟踪算法在精度、收敛性和实时陛等方面达到很好的跟踪效果。
Target tracking is an important problem in WSN' s application study. In this paper, the wireless sensor networks and the received signal strength indicator measurement technology are combined to study the distributed target tracking algorithm. Dynamic clusters are organized according to the relative position of sensor nodes and the moving target. The cluster head node, as the cluster data processing center, estimates the position of the moving target by extended kalman filter. Along with the target moving, the local estimation is transferred among the cluster head nodes. The simulation results show that the proposed distributed target tracking algorithm based on extended kalman filter has good comprehensive performance, such as accuracy, conver- gence and real-time, and possesses practical application value.