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Optimal Path Planning for UAVs to Reduce Radar Cross Section

  • Kim, Boo-Sung (Divison of Aerospace Engineering, Korea Advanced Institute of Science and Technology) ;
  • Bang, Hyo-Choong (Divison of Aerospace Engineering, Korea Advanced Institute of Science and Technology)
  • Published : 2007.06.30

Abstract

Parameter optimization technique is applied to planning UAVs(Unmanned Aerial Vehicles) path under artificial enemy radar threats. The ground enemy radar threats are characterized in terms of RCS(Radar Cross Section) parameter which is a measure of exposure to the radar threats. Mathematical model of the RCS parameter is constructed by a simple mathematical function in the three-dimensional space. The RCS model is directly linked to the UAVs attitude angles in generating a desired trajectory by reducing the RCS parameter. The RCS parameter is explicitly included in a performance index for optimization. The resultant UAVs trajectory satisfies geometrical boundary conditions while minimizing a weighted combination of the flight time and the measure of ground radar threat expressed in RCS.

Keywords

References

  1. S. A. Bortoff, 'Path planning for UAVs', Proceedings of the American Control Conference, Chicago. Illinois, June 2000
  2. T. W. McLain, R. W. Beard. 'Trajectory Planning for Coordinated Rendezvous of Unmanned Air Vehicles', AIAA Guidance, Navigation, and Control Conference and Exhibit, Denver, Co, August 2000
  3. P. R. Chandler. S. Rasmussen, M. Pachter, 'UAV Cooperative Path Planning', AIAA Guidance, Navigation, and Control Conference and Exhibit. Denver, Co. August 2000

Cited by

  1. Implementation and Analysis of Pattern Propagation Factor Based Radar Model for Path Planning pp.1573-0409, 2019, https://doi.org/10.1007/s10846-018-0973-7