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Path planning for ship-based UAV air-to-sea attack with threat netting

HAN Yulong, YAN Jiangang, YANG Shifeng, PAN Changpeng, WANG Lei   

  1. (Commanding Department, Naval Aeronautical and Astronautical University, Yantai 264001, China)
  • Online:2016-12-28 Published:2010-01-03

Abstract:

On the background of ship-based unmanned aerial vehicle (UAV) air-to-sea attack in the complicated sea battlefield, to solve the problem of relationship among threats which is often ignored in usual UAV path planning, the present research of path planning with threat netting is analyzed. A new classification of threats is put forward, that is to say, threats can be classified into mobile threats and fixed threats. Then the improved threat netting model is built up, which can well fulfill all the netting threats, especially for those far -away-from the ship-based UAV path but can influence it after intelligence exchange. This model can solve the response problem of mobile threats with threat netting. Simulation is made to analyze the effect of the threat netting model on path planning with the genetic algorithm (GA), a tactical feasible path is planned for ship-board UAV with threat netting, which shows the necessity and feasibility of the threat netting model.

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