Flight parameter design for translational invariant bistatic forward-looking SAR based on multiobjective particle swarm optimization

Abstract

The imaging performance of a translational invariant bistatic forward-looking SAR (Tl-BFSAR) system depends on its geometry configuration. Identifying the proper geometry configuration to achieve desired imaging performance is urgent demand in practical applications. In this paper, a flight parameter design method for this case is proposed. Firstly, the relationship between the flight parameter of TI-BFSAR and imaging performance is analysed. Based on the desired imaging performance of a specific application background, the flight parameter design process is modeled as a nonlinear equations system (NES). Finally, a flight parameter design method based on multiobjective particle swarm optimization algorithm is proposed to solve the NES and obtain multiple optimal solutions to guide the bistatic flight mission. An example of the flight parameter design process is given to validate the effectiveness of the proposed method.