异类传感器融合跟踪系统配准偏差的在线补偿  

On-line bias compensation for dissimilar sensor fusion tracking

作　　者：胡士强[1] 敬忠良[1] 田宏伟[1] 胡洪涛[1] 

机构地区：[1]上海交通大学自动化系

出　　处：《控制理论与应用》2005年第5期748-752,共5页Control Theory & Applications

基　　金：中国博士后科学基金(2003034265);国家自然科学基金(60375008);航天支撑技术基金(JD04);河北省博士科学基金(B2004510)

摘　　要：针对多传感器融合跟踪系统的时变配准偏差补偿问题,提出了一种配准偏差的在线估计和补偿算法.该算法首先依据多传感器提供的测量和跟踪信息,建立配准偏差的动态模型,然后利用极小化似然函数结合卡尔曼滤波方法在线估计系统偏差,利用估计的配准偏差,补偿和修正跟踪器的测量信息,实现多传感器的融合跟踪.最后针对异类传感器(雷达、红外)组成的多传感器跟踪系统,给出了应用该方法的仿真结果.For the time-variant registration errors of multi-sensor fusion tracking system, an on-line bias estimation and compensation algorithm for multi-sensor fusion tracking is proposed. A dynamic model of the bias is formulated based on the target information of measurements and estimation. A minimization of the likelihood function and Kalman filter are used to estimate the bias on-line, and the measurements are compensated for estimated bias. Finally, an example for the estimation of the bias parameters of radar and IRST sensors is given to illustrate the effectiveness of the approach.

关 键 词：多传感器 配准 补偿 融合 跟踪 

分 类 号：TN953[电子电信—信号与信息处理]