摘要
由于无源或被动探测设备提供的大多是角度信息,会导致观测非线性、距离不可测、低信噪比等问题,给目标跟踪带来很大的困难。针对被动多传感器目标跟踪系统中,观测量与状态之间存在较强的非线性关系所导致的非线性滤波问题,详细阐述了求容积规则选取积分点的方法,在研究求容积卡尔曼滤波(CKF)的基础上,结合集中式融合策略,推导出了具体滤波过程,提出了相应的被动多传感器目标跟踪算法。仿真结果表明,目标跟踪算法较好地解决了非线性滤波问题,提高了目标跟踪的精度。
The passive detection devices mostly provide the information of angles,which brings great difficulty with target tracking.On the basis of the research on the newly proposed Cubature Kalman Filter（CKF）,combined with multi-sensor centralized fusion rule,some corresponding algorithms were proposed for multiple passive sensors,which solve nonlinear filtering problem effectively.The detailed approach was given to resolve the quadrature problem of the product of the certain function and Gaussian distribution.
出处
《计算机仿真》
CSCD
北大核心
2013年第8期189-193,412,共6页
Computer Simulation
基金
陕西省自然科学基金项目(2011JM8023)
关键词
目标跟踪
被动多传感器
非线性滤波
高斯滤波
Target tracking
Multiple passive sensors
Nonlinear filtering
Gaussian filter
