基于高斯Monte Carlo粒子滤波的机动目标跟踪算法  

Maneuvering Target Tracking Algorithm Based on Gauss Monte Carlo Particle Filter

作　　者：刘红庆[1] 刘燕[2] 伍俊良[3] LIU Hong-qing;LIU Yan;WU Jun-liang(Logistics Information Institute,Hunan Vocational College of Modem Logistics,Changsha 410131,China;School of Information Engineering,Hunan Mechanical ＆ Electrical Polytechnic,Changsha 410151,China;College of Mathematics ＆ Statistics,Chongqing University,Chongqing 400044,China)

机构地区：[1]湖南现代物流职业技术学院物流信息学院,长沙410131 [2]湖南机电职业技术学院信息工程学院,长沙410151 [3]重庆大学数学与统计学院,重庆400044

出　　处：《控制工程》2018年第9期1754-1759,共6页Control Engineering of China

基　　金：国家自然科学基金(61473047);中央高校基本科研业务费专项资金(2014G3322008)

摘　　要：为提高机动目标跟踪算法跟踪精度和跟踪效率,提出一种基于高斯Monte Carlo粒子滤波的机动目标跟踪算法。首先,对WSN机动目标定位过程进行模型构建,并给出机动目标移动位置和速度的迭代更新公式;其次,为实现机动目标的有效跟踪,引入粒子滤波算法构建机动目标跟踪模型,同时为提高粒子滤波算法性能,利用高斯和Monte Carlo方式对粒子重采样提取过程进行改进,提高粒子提取效率和性能;最后,通过在机动目标跟踪模型上的实验对比,显示所提算法在跟踪精度和跟踪效率上要优于对比算法,体现了所提算法有效性。In order to improve the tracking accuracy and efficiency of the maneuvering target tracking algorithm, a maneuvering target tracking algorithm based on Gauss Monte Carlo particle filter is proposed. Firstly, the model is constructed for the WSN maneuver target localization process, and an iterative updating formula of the moving position and speed of the maneuvering target is presented; Secondly, in order to realize the effective tracking of maneuvering targets, the particle filter algorithm is introduced for the construction of the maneuvering target tracking model, at the same time, in order to improve the performance of the particle filter algorithm, the Gaussian and Monte Carlo method are used for the improvement of the particle resampling extraction process, which improves the particle extraction efficiency and performance; Finally, by comparing the experimental results on the maneuvering target tracking model, it is shown that the proposed algorithm is superior to the contrast algorithm in tracking accuracy and tracking efficiency, which shows the effectiveness of the proposed algorithm.

关 键 词：高斯 MONTE Carlo采样 粒子滤波 机动目标 跟踪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]