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基于SRUKF的TSOA/TDOA单站跟踪技术研究
引用本文:刘翔,宋常建,胡磊,钟子发.基于SRUKF的TSOA/TDOA单站跟踪技术研究[J].数据采集与处理,2012,27(2):259-263.
作者姓名:刘翔  宋常建  胡磊  钟子发
作者单位:1. 解放军电子工程学院电子制约技术重点实验室,合肥,230037
2. 蚌埠汽车管理学院干部轮训大队,蚌埠,230011
基金项目:国防预研基金(41101040603)资助项目
摘    要:阐述了蜂窝网系统中单台定位设备TSOA/TDOA被动式新型混合定位技术的原理.利用TSOA/TDOA混合定位的数学模型建立系统观测方程,采用受随机加速影响的匀速运动状态模型,描述了移动台的位移和速度.在此基础上推导了基于平方根无迹卡尔曼滤波的跟踪算法,并通过仿真实现了对移动台位置和速度的同时跟踪.仿真结果表明,与扩展卡尔曼滤波及无迹卡尔曼滤波算法相比,平方根无迹卡尔曼滤波算法的跟踪性能更优.

关 键 词:到达时间之和(TSOA)  到达时间之差(TDOA)  平方根无迹卡尔曼滤波(SRUKF)  移动台跟踪
收稿时间:2011/10/9 0:00:00
修稿时间:2012/3/13 0:00:00

TDOA/TSOA tracking technology based on Square-root Unscented Kalman Filter
Liu Xiang,Song Chang-Jian,Hu Lei and Zong Zi-Fa.TDOA/TSOA tracking technology based on Square-root Unscented Kalman Filter[J].Journal of Data Acquisition & Processing,2012,27(2):259-263.
Authors:Liu Xiang  Song Chang-Jian  Hu Lei and Zong Zi-Fa
Affiliation:1(1.Key Laboratory of Electronic Restriction,Electronic Engineering Institute of PLA,Hefei,230037,China;2.Academy Cadre Trained Group,Automobile Management Institute of PLA,Bengbu,230011,China)
Abstract:According to the single location equipment application in cellular networks,the principle of a novel passive location technology is firstly presented in detail based on the time sum of arrival and the time difference of arrival(TSOA/TDOA).Then the equation of observation is built by the mathematical model of the TSOA/TDOA location system.And the speed and shift of the mobile are described with the uniform motion state model which is affected by the random acceleration.Finally,the locating and tracking algorithm is put forward and derived based on square-root unscented Kalman filter(SRUKF).And the mobile position and speed are estimated at the same time.Simulation result shows that the proposed algorithm has superior performance to the extended Kalman filter(EKF) algorithm and the unscented Kalman filter(UKF) tracking algorithm.
Keywords:time sum of arrival(TSOA)  time of difference arrival(TDOA)  square-root unscented kalman filter(SRUKF)  mobile tracking
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