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Volume 42 Issue 7
Jul.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(7): 1388-1397.
ZENG Lingchuan, LI Dapeng, QU Yi, et al. Route planning algorithm for configuring airborne pseudolites[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1388-1397. doi: 10.13700/j.bh.1001-5965.2015.0477(in Chinese)
Citation: ZENG Lingchuan, LI Dapeng, QU Yi, et al. Route planning algorithm for configuring airborne pseudolites[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(7): 1388-1397. doi: 10.13700/j.bh.1001-5965.2015.0477(in Chinese)
shu

Route planning algorithm for configuring airborne pseudolites

doi: 10.13700/j.bh.1001-5965.2015.0477

  • Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China

  • Received Date: 16 Jul 2015
  • Publish Date: 20 Jul 2016
    Abstract
  • This paper focuses on the airborne pseudolites based on airships and proposes a route planning method to configure airborne pseudolites from the initial position to the target position. First, by analyzing the geometric dilution of precision (GDOP) as the performance of navigation enhancement, a route planning cost function was designed based on the distance and GDOP. Then, on the basis of sparse A* algorithm and analysis of constraint conditions, a route planning algorithm was proposed which can adjust the weights of distance and GDOP adaptively, and the route was smoothed by the Dubins curve. Finally, the route planning algorithm was validated through the simulated experiments. The simulated experimental results show that the route planning algorithm can reduce the GDOP cost effectively and improve user positional accuracy in the subsequent route planning if the GDOP value is severe at current time; on the other hand, while the GDOP approaches its optimal value, the algorithm will increase the weight of distance to make pseudolites move to their destinations as quickly as possible and reduce the time consumption during the subsequent route planning.

     

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