DocumentCode :
578258
Title :
Study on a real-time optimal multi-sensor asynchronous data fusion algorithm
Author :
Guoqing, Qi ; Yinya, Li ; Andong, Sheng
Author_Institution :
Autom. Sch., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2012
fDate :
6-8 July 2012
Firstpage :
4362
Lastpage :
4367
Abstract :
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.
Keywords :
sensor fusion; synchronisation; asynchronous data synchronization; estimation precision improvement; fusion center; fusion periods; maneuvering target; real-time optimal multisensor asynchronous data fusion algorithm; system error; unbiased minimum variance; Algorithm design and analysis; Estimation error; Noise; Sensor fusion; Asynchronous data; Multi-sensor Data Fusion; Unbiased estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
Type :
conf
DOI :
10.1109/WCICA.2012.6359214
Filename :
6359214
Link To Document :
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