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Volume 21 Issue 6
 
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Article Navigation >  Journal of Unmanned Undersea Systems  > 2013  >  21(6): 436-439
LIU Yang, JIANG Li-Ping. A Consensus Data Fusion Algorithm for Dynamic Multi-sensors[J]. Journal of Unmanned Undersea Systems, 2013, 21(6): 436-439. doi: 10.11993/j.issn.1673-1948.2013.06.009
Citation: LIU Yang, JIANG Li-Ping. A Consensus Data Fusion Algorithm for Dynamic Multi-sensors[J]. Journal of Unmanned Undersea Systems, 2013, 21(6): 436-439. doi: 10.11993/j.issn.1673-1948.2013.06.009
shu

A Consensus Data Fusion Algorithm for Dynamic Multi-sensors

doi: 10.11993/j.issn.1673-1948.2013.06.009

  • Department of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China

  • Received Date: 2013-07-07
  • Rev Recd Date: 2013-08-15
  • Publish Date: 2013-12-20
    Abstract
  • Existing consensus fusion algorithms can not accurately measure the consensus and reliability of sensor in state estimation of time-varying system, and ‘data saturation’ and ‘waste of history information’ exist in measurement of sensor′s consensus mean value and reliability. In this paper, the calculation of consensus mean value and variance is transformed into the estimation of time-varying parameters, the consensus attenuation factors and variance attenuation factors are employed to measure the consensus and reliability of sensor more objectively, and the dynamic adjustment of sensor fusion weight is realized. Simulation results show that the present approach can reasonably distribute the fusion weights of sensors to optimize the fusion algorithm.

     

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