Research and Analysis of Fixed Time Positioning Algorithm Based on Local Azimuth Measurement

ABSTRACT This study first clarifies the concept of azimuth localizability and elaborates on the design process of a distributed localization algorithm based on local azimuth measurements, with a specific focus on fixed‐time localization using local azimuth measurements. The proposed method enables each follower node to determine its position in the global coordinate system within a fixed time frame by leveraging local azimuth measurements and network topology constraints. Furthermore, the study investigates the impact of various parameters and initial position estimates on convergence time. Finally, simulation experiments are conducted on the MATLAB platform, encompassing both 2D and 3D fixed‐time localization based on local azimuth measurements.