基于Kalman滤波的无线传感器网络多目标跟踪

Multi-target tracking based on Kalman filter and WSN

研究了无线传感器网络(WSN)多目标跟踪系统,探讨制约其性能的条件,阐明了基于Kalman滤波的系统,同时还应用了若干事件辅助机制。通过相应的仿真实验发现,提出的新方法与调度策略可以实时跟踪多目标,同时还有诸多方面的优势,例如,降低测量时间,缩减计算开销,节约能耗,以及改善精度等。

This paper analyzed the wireless sensor network(WSN)multi-target tracking system,discussed the limitation performance conditions and illustrated the system based on Kalman filter,but also a number of events auxiliary mechanism is applied.Through the corresponding simulation results found,the proposed new method and scheduling strategy can track the targets in real time,at the same time there are many advantages,such as reducing the measurement time,reducing the computational cost,saving energy,and improving the precision.