母体均值区间估计用于多传感器数据关联算法研究  

Research of Population Average Region Estimation Algorithms Used on Multisensor Data Correlation

作　　者：王铁红[1] 李莹[1] 汪高勇[1] 

机构地区：[1]东北电子技术研究所,辽宁锦州121000

出　　处：《激光与红外》2006年第12期1171-1174,共4页Laser & Infrared

摘　　要：为了提高多传感器数据融合的精度,数据或航迹关联成为对目标跟踪滤波的关键。分析了用于多传感器数据融合的集中式与分布式卡尔曼滤波器,提出了一种新的基于数理统计理论的数据关联算法———正态母体均值区间估计算法,当传感器性能及干扰噪声的统计特性发生突变时,能大大提高数据融合的精度和准确性。To improve the precision of muhisensor data fusion, data or track association becomes the key of target tracking filter. Centralized and distributed Kalman filter used on muhisensor data fusion are analyzed. Normal population mean value interval estimation algorithms based on mathematical statistic theory as a new data correlation algorithms is advanced. When functions of muhisensor and statistic character of disturbing noise changed, the precision and accuracy of data fusion are improved greatly.

关 键 词：多传感器数据融合 数据关联 卡尔曼滤波器 正态母体 均值区间估计 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]