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基于非合作定位模型的改进型粒子滤波跟踪算法

Advanced Particle Filter for Non-cooperative Target Tracking in LTE
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摘要 针对卡尔曼滤波对3GPP长期演进(LTE,long term evolution)终端非合作跟踪定位精度较差的问题,提出了基于非合作定位模型的改进型粒子滤波算法。该算法以侦测站从空口截获的含有噪声的波达时延差(TDOA)和波达时延和(TSOA)信息为基础,建立目标跟踪定位模型,通过改进型粒子滤波(PF,particle filter)算法实现对目标终端的位置和速度的跟踪获取。仿真实验表明,该算法可以有效实现对目标的跟踪,较无迹卡尔曼滤波(UKF,unscented kalman filter)算法有更好的准确性。 In order to solve the poor accuracy problem of non-cooperative target tracking by the algorithm of Kalman filter in LTE, this paper offered the model of non-cooperative target tracking This algorithm built a target tracking model which based on the TDOA and TSOA inforrmtion. These information were intercepted by monitoring station from the spatial interface the target tracking by a advanced particle filter was realized. Numerical simulations showed that the algo- rithm could realize the target tracking and bad a better veracity than UKF.
作者 滕飞 钟子发
机构地区 解放军电子工程学院 安徽省电子制约技术重点实验室
出处 《探测与控制学报》 CSCD 北大核心 2015年第4期72-76,共5页 Journal of Detection & Control
基金 国家自然科学基金项目(61272333) 安徽省自然科学基金项目(1208085MF94)
关键词 粒子滤波 无迹卡尔曼滤波 3GPP长期演进 非合作定位 目标跟踪定位 侦测站 particle filter unscented Kalman filter long term evolution non-cooperative location target tracking moni-toling station
分类号 TN929.53 [电子电信—通信与信息系统]
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参考文献8

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二级参考文献13

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探测与控制学报
2015年 第4期

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