Title :
The modeling and estimation of asynchronous multirate multisensor dynamic systems
Author :
Liping Yan ; Bo Xiao ; Yuanqing Xia ; Mengyin Fu
Author_Institution :
Key Lab. of Intell. Control & Decision of Complex Syst., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper is concerned with the state estimation of a linear dynamic system and the fusion of asynchronous multirate multisensor data. The dynamic system is described at the finest scale with multiple sensors observing a single target independently at different scales with different sampling rates. The main result is that the multiscale measurements are properly formulated, and an optimal recursive fusion algorithm is presented. A numerical example is given to show the feasibility and efficiency of the algorithm.
Keywords :
linear systems; sensor fusion; state estimation; asynchronous multirate multisensor data fusion; asynchronous multirate multisensor dynamic systems; linear dynamic system; multiscale measurements; optimal recursive fusion algorithm; sampling rates; state estimation; Measurement uncertainty; Sensor systems; Solid modeling; State estimation; Time measurement; Kalman filter; asynchronous; multirate; multiscale; recursive fusion; state estimation;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an
