Design and Application of a Model for Passive Positioning and Maintaining Formation Based on Unmanned Aerial Vehicles

Abstract

As an Effective method for adjusting the position of unmanned aerial vehicles, bearings-only passive positioning can achieve the goal of maintaining formation formation very covertly due to its passive positioning. This article establishes a mathematical model between the transmitting signal and the passive receiving signal of the drone, and uses exhaustive method, genetic algorithm, and prediction model to measure the lateral direction angle to predict the position of the drone. This study can achieve Effective localization, increase the accuracy and stability of localization results.