Research on Formation Flight Adjustment of UAVs based on Passive Localization

Unmanned aerial vehicle (UAV) passive localization has grown in popularity as a research area due to the increasing prevalence of contemporary electromagnetic interference. In this study, a polar coordinate system mathematical model based on the sine theorem and analytic geometry is built in accordance with the direction information that the UAV deduced from the signal it received. The bare minimum of transmitting signal UAVs is chosen using an optimization algorithm and statistical indicators. Additionally, this study proposes a dynamic programming model based on an iterative algorithm and introduces the objective function in a novel way by making it the sum of the absolute values of positive and negative angle deviations. The experimental findings demonstrate that the UAVs can reach the target position in only 16 iterations, demonstrating the algorithm’s dependability.