基于IMM-UKF的传感器管理算法  

Method of Sensor Management Based on IMM-UKF

作　　者：李琪[1] 李静[1] 张可[2] 

机构地区：[1]安阳工学院电子信息与电气工程学院,河南安阳455000 [2]电子科技大学电子科学技术研究院,成都611731

出　　处：《现代雷达》2013年第9期45-49,共5页Modern Radar

基　　金：中央高校基本科研业务费专项资金资助项目(ZYGX2009J092)

摘　　要：传感器管理是信息融合技术的重要研究方向,目标跟踪中传感器管理的主要目的是为了通过与目标环境相互作用,降低目标的不确定性信息,以便于对目标精确跟踪。文中提出了一种基于IMM-UKF的传感器管理算法。针对机动目标的模型多为非线性的情况,提出了把交互式算法与Unscented卡尔曼滤波相结合的交互式Unscented卡尔曼滤波算法(IMM-UKF),并结合信息增量用于传感器管理。Sensor management is an important part of information fusion. The main purpose of sensor management in the process of target tracking is to reduce uncertainty information of the target through interacting with the target environment, so as to track the target accurately. A method of sensor management based on IMM-UKF was proposed in the paper. Aiming at the models of maneuvering objects are nonlinear, an algorithm which combined the interacting multiple models with unscented kalman filter algorithm was given in the paper. Sensor resources can be managed depend on the algorithm with information gain which get by discrimination.

关 键 词：传感器管理 非线性滤波 交互式多模型 信息增量 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]