Study on A Real-time Optimal Multi-sensor Asynchronous Data Fusion Algorithm

被引：0
作者：
Qi Guoqing [1 ]
Li Yinya [1 ]
Sheng Andong [1 ]
机构：
[1] Nanjing Univ Sci & Technol, Automat Sch, Nanjing, Jiangsu, Peoples R China
来源：
PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012) | 2012年
关键词：
Multi-sensor Data Fusion; Asynchronous data; Unbiased estimation; TO-TRACK FUSION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Oriented on asynchronous data in multi-sensor data fusion system, a real-time fusion architecture is put forward, which is in unbiased minimum variance sense. The proposed asynchronous fusion algorithm can solves the measurements sequentially that does not need to preset fusion periods for fusion center to synchronize asynchronous data transmitted from multi sensors. Simulation result has proven the efficiency of the algorithm, and it also illustrates that the algorithm can improve the estimation precision obviously when the target is maneuvering and there is system error in measurement.
引用
收藏
页码：4362 / 4367
页数：6
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