Research on UAV Target Tracking and Localization Algorithm Based on Computer Filtering Algorithm

Target tracking and positioning of UAV is an important part of UAV intelligence. Its main purpose is to achieve accurate tracking of target position, speed and attitude, and timely acquisition of target motion information in the process of movement. Based on the analysis and research of UAV trajectory and flight path characteristics, the traditional UAV motion parameter estimation method has many problems and shortcomings, and a UAV motion parameter estimation algorithm based on multi-sensor information fusion technology is established. This method realizes the estimation of target position and speed by the tracking system based on multi-source sensor information fusion technology. It can effectively solve the problems such as low accuracy of traditional inertial navigation system and difficult to achieve accurate target positioning in complex environment, which can improve the target positioning accuracy and lay the foundation for the intelligent control of UAV.