Research On High Altitude And Long Endurance Unmanned Aerial Vehicle Reconnaissance Mission Planning

The ability to keep unceasing reconnaissance and surveillance operation upon conflicting area is important promise for collecting information during the war or peace time in future. High Altitude Long Enduration Unmanned Aerial Vehicle (HALE-UAV) as a new platform for air surveillance, which makes up the shortcomings of traditional surveillance means, will play an important role in military reconnaissance and surveillance operation.HALE-UAV has high cruise altitude and long endurance, so the factors need to be considered during reconnaissance mission planning are more complex than what other UAVs will face in the mission. This paper focuses on HALE-UAV, and studies its reconnaissance planning process. The main work of this paper is as follows:Present HALE-UAV reconnaissance route planning model. Through summarization and abstraction, the constraints existing during HALE-UAV reconnaissance process, which include reconnaissance time windows of targets, communication constraints, and reconnaissance ability of UAV are taken into account. The optimal object of the model is to minimize the total path cost of UAV and maximize the number of targets reconnaissanced by UAV. Comparing with models in previous studies, the model presented by this paper takes more HALE-UAV characters into account, so the model is more practical.Put forward FSATS(Fish-Swarm Algorithm with Tabu Search) to solve the model presented by this paper. To solve the NP-Hard formulation effectively, a fish algorithm with tabu search operator is proposed, which combines the basic fish search algorithm with tabu search algorithm. The algorithm converges fast and shows good performance in finding optimal result. The simulation results show that this algorithm is suitable for solving the formulations in this paper.Analysis the factors that would influence the quality of UAV reconnaissance and surveillance image, and give the method and flow for UAV sensor planning nearby the target. The paper first selects metrics of image quality, and then bases on the GIQE( General Image Quality Equation ) to analysis that how the main factors including sensor performance, surveillance angle and height would influence the image quality. The simulation results are also provided. At the same time, the relationship between UAV fly trajectory nearby targets and surveillance image quality is discussed briefly.Finally, simulation is provided to demonstrate the efficiency of the algorithm and planning flow. This paper constructs the test data according to the HALE-UAV "Global Hawk", and gives typical scenario which are similar with practical surveillance and reconnaissance mission for simulation. The results of experiment demonstrate that the algorithm and planning procedure is efficient.