无线传感器网络目标跟踪算法的研究

摘要

Study sensor network target tracking. Tracking the motion track of ihe target is a changeable,, nonlin-ear and non-Gauss problem, and traditional tracking algorithms have limitations to solve the nonlinear problem. In order to improve the target tracking precision, the improved particle filtering algorithm was introduced to the wireless sensor network target tracking, which is not limited to solve nonlinear and non-Gauss problems. Simulation results show that the improved particle filter algorithm can improve particle efficiency and the target tracking precision The tracking performance is better, and very suitable for the precision and the real-time target tracking applications.%研究传感器网络目标跟踪精度问题,跟踪目标的运动轨迹具有时变性,是一种非线性、非高斯问题,传统跟踪算法解决非线性问题时具有局限性,导致目标跟踪精度不高.为提高目标跟踪精度,将不受非线性、非高斯问题限制的粒子滤波算法引入到无线传感器网络目标跟踪应用中,并对基本粒子滤波算法的缺陷进行改进.仿真结果表明,改进粒子滤波算法提高了粒子利用效率,不仅提高了目标跟踪的精度,跟踪性能更好,并适合于目标跟踪的精度和实时性要求,为设计网络系统提供了参考.