Resource Allocation and Optimization of Multi-UAV SAR System

In this paper, a multi-UAV SAR system with one UAV operating as receiving node and multiple UAVs operating as transmitting nodes is proposed. The proposed system gains better multi-angle featured imaging performance and higher target recognition ability. The multi-UAV SAR system contains a large number of UAV nodes, the imaging performance of the system is closely related to the configuration, power and bandwidth of the nodes, so the system resources need to be reasonably allocated to achieve the optimal comprehensive performance of the system. The system resource allocation is modeled as a constrained multi-objective optimization problem (MOP) considering the spatial configuration, transmit power and frequency band allocation of the UAVs and is solved by multi-objective particle swarm optimization (MOPSO) method to provide satisfactory imaging performance concerning the diversity of observation angle, resolution performance and image quality.