无线传感器网络中基于机动模型的跟踪算法研究

Based on Maneuvering Model Tracking Algorithm Research in Wireless Sensor Networks

以大型建筑火灾救援系统中人员跟踪方法为研究背景,针对受灾人员移动的随机性和不可预见性,提出了一种基于机动模型的粒子滤波算法;该算法采用无线传感器网络技术,解决了传统有线设备易损毁的问题,采用全新的动力学机动模型作为系统状态模型,以满足复杂移动轨迹的要求,并采用粒子滤波算法对移动人员进行跟踪,解决了非线性非高斯系统的状态估计问题;仿真实验结果表明,该算法跟踪效果良好,具有一定的实用性。

Due to the randomicity and unpredictability of the moving people who are in danger, a particle filter algorithm is proposed based on maneuvering model for man-tracking research in the Large building fire rescue system. The algorithm solves the problem that the traditional wireline equipment is easily damaged by using wireless sensor networks. We adopt a novel dynamics maneuvering model as the system state model for the requirement of complicated trajectory, and solve the nonlinear and non-Gaussian state estimation problem by using particle filter algorithm Simulation results show that the algorithm has a good performance, and has a certain practicality.