Multi-target Passive Localization Algorithm Based on UAV Clusters

In order to study the problem of multi-target passive localization of UAV clusters, this paper first uses the traditional pseudo-linear estimation (PLE) method for target coarse positioning. Then for multi-target passive localization scenarios, proposes a resource allocation method of UAV clusters based on the greedy algorithm. Finally uses the improved weighted pseudo-linear estimation (WPLE) method or improved maximum likelihood estimation (MLE) method for target fine positioning. Besides, the influence of different passive localization algorithms and related parameters on the positioning performance of the system is analyzed through simulation. The experimental results show that the positioning algorithm proposed in this paper achieves accurate positioning of multiple targets, and has a higher positioning accuracy than the traditional PLE method, which verifies the effectiveness and feasibility of the algorithm.