UAV Swarm Search Path Planning Method Based on Probability of Containment

Author:

Fan Xiangyu1ORCID,Li Hao2,Chen You3,Dong Danna3ORCID

Affiliation:

1. Department of Bomber and Transport Aircraft Pilots Conversion, Air Force Harbin Flying College, Harbin 150088, China

2. Department of Intelligence, Air Force Early Warning Academy, Wuhan 430070, China

3. Institute of Aeronautical Engineering, Air Force Engineering University, Xi’an 710065, China

Abstract

To improve the search efficiency of the unmanned aerial vehicle (UAV) swarm in disaster areas, the target distribution probability graph in the prior information is introduced, and a drone cluster search trajectory planning method based on probability of containment (POC) is proposed. Firstly, based on the concept of probability of containment in search theory, a task area division method for polygonal and circular areas is constructed, and the corresponding search trajectory is constructed. Then, the influence of factors, including probability of containment, probability of detection, and probability of success on search efficiency, is sorted out, and the objective function of search trajectory optimization is constructed. Subsequently, an adaptive mutation operator is used to improve the differential evolution algorithm, thus constructing a trajectory optimization process based on the improved adaptive differential evolution algorithm. Through simulation verification, the proposed method can achieve a full coverage search of the task area and a rapid search within a limited time, and can prioritize the coverage of areas with a high target existence probability as much as possible to achieve a higher cumulative success probability. Moreover, the time efficiency and accuracy of the solution are high.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Reference40 articles.

1. LSAR: Multi-UAV Collaboration for Search and Rescue Missions;Alotaibi;IEEE Access,2019

2. Deep Reinforcement Learning for UAV Navigation Through Massive MIMO Technique;Huang;IEEE Trans. Veh. Technol.,2020

3. Trajectory Optimization for High-Altitude Long-Endurance UAV Maritime Radar Surveillance;Brown;IEEE Trans. Aerosp. Electron. Syst.,2020

4. UAV 3D trajectory planning by using dynamic programming and potential theory;Liu;Comput. Eng. Appl.,2013

5. A Continuous Wavelet Transform Based Method for Ground Elevation Estimation Over Mountainous Vegetated Areas Using Satellite Laser Altimetry;Nie;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2018

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