Research And Hardware Implementation Of High-precision Positioning Algorithm For Iot Nodes Based On Heterogeneous Network

The Internet of Everything is a trend in the future society,and its foundation is the combination and application of cellular network technology and Internet of Things technology.For the Io T node,it is not only required to be able to form an information transmission network,but also to have the function of positioning the connected objects.Therefore,the research goal of this paper is to use 5G broadband signals and fuse them with NB-Io T narrowband signals,supplemented by other suitable sensors,to achieve high-precision positioning,thereby expanding the application of the Internet of Things.Algorithm research is one of the focuses of this paper.The paper studies the DOA algorithm based on the array antenna,focuses on the MUSIC algorithm and the E-SPRIT algorithm,and compares and analyzes their performance to obtain the optimal array for different signal source conditions.Structure and model to achieve a balance between performance and cost.In order to solve the problem of the large amount of data collected by AD,the paper also studies the implementation of the combination of One-Bit sampling and MUSIC algorithm.In order to cope with the contradiction between 5G signal broadband and NB-Io T signal narrowband,a co-location model for heterogeneous networks is established,and a coordinated positioning algorithm based on heterogeneous networks based on decoupling(or dimensionality reduction)is used to combine multiple mobile terminals.At the same time as positioning estimation,the complexity of solving high-dimensional nonlinear optimization problems is reduced.The hardware implementation of array-based DOA estimation algorithm is another important point introduced in this article.With the help of the software radio platform and the open source OAI platform,an experimental positioning system based on array antennas was developed,and the improved MUSIC algorithm was applied to realize the fusion positioning measurement of heterogeneous networks in indoor and outdoor scenes,achieving meter-level positioning accuracy.