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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6359214