含无序量测的多传感器信息融合算法研究  

The Research on Multi-Sensor Information Fusion with Out-Of-Sequence Measurement

作　　者：张希彬[1] 秦超英[2] 高蕊[2] 

机构地区：[1]天津科技大学理学院,天津300222 [2]西北工业大学理学院,西安710072

出　　处：《传感技术学报》2006年第4期1310-1312,共3页Chinese Journal of Sensors and Actuators

摘　　要：由于通信时间的延迟性,在多传感器系统中常常会出现无序量测情况。为提高估计的精度,系统须对无序量测进行处理,状态更新法是处理无序量测问题的一种有效方法。对于多传感器信息融合问题,给出了一种处理无序量测的状态估计更新算法。仿真计算表明该算法能有效的提高融合估计的精度。In a multiple sensor tracking system, out-of-sequence measurement（OOSM） always occurs due to communication delays. The system needs to solve with the OOSMS in order to improve the precision. Updating the state estimation is one method of dealing with such problems. It presents one method of solving with OOSMS in the multi-sensor information fusion, and the simulation shows that the algorithm can improve the estimation effectively.

关 键 词：无序量测 信息融合 状态更新 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]