一种基于EKF的WSN目标跟踪改进算法  

An Improved WSN Target Tracking Algorithm Based on EKF

作　　者：李化[1] 朱钾 

机构地区：[1]太原理工大学信息工程学院,山西榆次030600

出　　处：《山西大学学报（自然科学版）》2017年第4期743-749,共7页Journal of Shanxi University(Natural Science Edition)

基　　金：山西省自然科学基金(2014011019-1);中国国家留学基金委(201606935043)

摘　　要：在目标跟踪领域,无线传感器网络有着广泛的应用。针对EKF算法非线性目标跟踪中存在的问题,在EKF算法的基础上引入RSSI测距加权质心算法,从而提出了一种新的非线性目标跟踪算法,将节点的观测值与RSSI测距加权质心算法对目标的定位值有效的结合运用于EKF算法中,有效地提高了目标跟踪的精度,减小了跟踪误差。通过算法仿真可知,与几种定位算法及非线性滤波算法相比,改进算法在各方面均取得了良好的效果,并且具有较高的实时性。In the field of target tracking, wireless sensor networks have a wide range of applications. Aiming at the problem of nonlinear target tracking in EKF algorithm, a new improved algorithm is proposed by introducing RSSI distance weighted centroid algorithm based on the EKF algorithm. Combining the observation value of the node and the RSSI distance weighted centroid algorithm to the target＇s location value effectively in the EKF algorithm, it can effectively improve the accuracy of the target tracking and reduce the tracking error. Through the algorithm simulation, compared with several positioning algorithms and nonlinear filtering algorithms, the improved algorithm can achieve good results in all aspects and has a high real-- time performance.

关 键 词：WSN目标跟踪 EKF算法 加权质心算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]