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Volume 32 Issue 11
Nov.  2006
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Journal of Beijing University of Aeronautics and Astronautics  > 2006  >  32(11): 1263-1267.
Zhang Hongwei, Zhang Yidu, Zhao Xiaoci, et al. Key techniques in simulation of machining distortion for aeronautical monolithic component[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(02): 239-243. (in Chinese)
Citation: Feng Peide, Xie Shuxiang, Zhang Jingjuanet al. New approach for swarming aircraft positioning via network information[J]. Journal of Beijing University of Aeronautics and Astronautics, 2006, 32(11): 1263-1267. (in Chinese)
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New approach for swarming aircraft positioning via network information

  • School of Instrument Science and Opto-electronics Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 30 Apr 2006
  • Publish Date: 30 Nov 2006
    Abstract
  • The swarming aircraft organized by network will become a basic operation mode for the Airforce under network centric warfare(NCW) environment. A new approach for swarming aircraft positioning based on mutual distance measurement data is proposed. Simulation results show that the position accuracy for an individual INS in a swarming aircraft group can be improved up to 5m in 1.5 minutes time period if distance measurement error is 20m (1σ). In the meantime the time synchronization between network nodes can be improved up to 1ms. If 15minutes time period is permitted, the parameters of inertial navigation system(INS) error model can also be estimated. After correction the INS position accuracy can be improved up to 30m (CEP, circular error probability) in the subsequent half an hour, position accuracy can be increased by about 10 times. The periodic positioning via network can not only obviously increases the positioning accuracy for the swarming aircraft but also detects the soft failure of the particular system and isolates it by system reconfiguration.

     

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