3-D path planning for GEO-UAV bistatic SAR using multiobjective evolutionary algorithms
Zhichao Sun, Junjie Wu, Jianyu Yang, Yulin Huang, Haiguang Yang, Caipin Li, Dongtao Li · 2016
Geosynchronous synthetic aperture radar is able to provide ground illumination for airborne receivers with wide coverage and high temporal resolution. With unmanned aerial vehicle (UAV) as the receiving platform, the GEO-UAV bistatic SAR is capable of autonomously accomplishing the bistatic SAR mission in 3-D rough terrain by prespecifying a path for UAV receiver. In this paper, the 2-D spatial resolution of GEO-UAV bistatic SAR is first analysed. The path planning problem aims at identifying a set of optimal paths for the UAV receiver to travel through 3-D terrain environment that simultaneously guarantee the safety of the UAV and achieve SAR imaging with optimized performance during the flight. Then, the path planning is modeled as a multiobjective optimization problem and multiple feasible paths can be obtained by using the multiobjective evolutionary algorithms. Simulation results are given to validate the effectiveness of the proposed method.