Paper Title:
Research of Asynchronous Multi-Type Sensors Data Fusion
  Abstract

A data fusion algorithm was established for estimating the state of target tracking system with multi-type sensor. Through Kalman filter regarding the multi-sensors to computer goal estimated value, it can obtain estimation value of goal at moment. And mean square deviation of fusion estimation value was smaller than single sensor's mean square deviation. The simulation results indicated that synchronisms data fusion method was effective to the multi-target tracking problem. Asynchronous multi-sensor fusion process can obtain good control effect in the practice control process.

  Info
Periodical
Edited by
Hun Guo, Zuo Dunwen, Tang Guoxing
Pages
16-20
DOI
10.4028/www.scientific.net/AMR.142.16
Citation
Y. Qin, X. H. Wang, M. J. Feng, Z. Zhou, L.J. Wang, "Research of Asynchronous Multi-Type Sensors Data Fusion", Advanced Materials Research, Vol. 142, pp. 16-20, 2011
Online since
October 2010
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