An accurate maximum likelihood location method based on UWB platform

Ultra Wideband (UWB)-based platform is a system which is suitable for high precision distance estimation and localization. A localization algorithm based on UWB platform can gain high accuracy of distance estimation and localization. Among localization methods, the maximum likelihood (MLL) is a simple and accurate location algorithm, which can meet the requirements of location algorithm based on UWB platform. In this paper, a method of maximum likelihood estimation based on outlier detection and UWB platform is studied. Firstly, we analyzed the principle of the UWB-based distance estimation and MLL localization algorithm. Then, the algorithm was verified by simulation analysis of localization accuracy and efficiency. Finally, indoor and outdoor localization experiments were carried out to compare and analyze the localization accuracy of the three localization algorithms in different environments, and the conclusions were drawn. The experimental results demonstrated that MLL has the highest accuracy in indoor and outdoor environments compared with LS and trilateration methods, and it is suitable localization algorithm for UWB localization.