MR data-based positioning method, system and device, and readable storage medium

Abstract

The invention discloses a positioning method based on MR data. The method comprises the following steps: carrying out the data cleaning of the MR data, and carrying out the classification of the cleaned data according to LAC and CI; projecting the longitude and latitude of the classified data into a rectangular coordinate system through a UTM projection method to obtain original data; calculatingthe circle center of the minimum circumscribed circle of the original data in each LAC and CI through a minimum circle coverage algorithm to obtain preprocessed data; calculating the circle center ofthe minimum circumscribed circle of the preprocessed data through a minimum circle coverage algorithm to obtain a final circle center; and taking the final circle center as the coordinate of the basestation, and obtaining the longitude and latitude of the base station through UTM back projection. Compared with a traditional method of directly applying a longitude and latitude distance calculationformula, the UTM projection method is higher in precision and more convenient for calculation. Besides, a minimum circle coverage algorithm is adopted, the minimum circle coverage algorithm is not easily influenced by data offset, and the central point is more accurately searched.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a positioning method, system, equipment and readable storage medium based on MR data. Background technique [0002] Nowadays, with the establishment of 5G networks and the rapid development of services, network data is increasing and becoming more and more perfect. Among the many network data used by users for network performance analysis and user perception systems, MR (Measurement Report, measurement report) Data is one of the more important types of data. Especially in the correlation analysis of MR and signaling, a number of key technologies have been generated. Using MR data, the precise positioning of the user's center point can be carried out. At present, there are many MR-based positioning technologies, mainly including cell identification-based positioning, time-of-arrival positioning, triangulation positioning, level signal positioning based on least sq...

AI Technical Summary

Problems solved by technology

[0003] The existing MR-based positioning and identification methods have the following defects: 1. The positioning method based on cell identification is not accurate because it only needs to use the cell ID information corresponding to the sector of the base station where the user is located to realize the positioning function.

Since the positioning range is limited to the base station coverage of the cell, it is easy to randomly locate any point under a certain serving cell, resulting in low positioning accuracy

2. Since the TA+AOA positioning algorithm needs to use the user's AOA measurement data, the accuracy of the method is affected by the AOA data quality

However, this kind of technology needs to invest a lot of manpower and equipment resources, so the technical cost of method implementation is relatively high, which is not conducive to popularization and implementation

Images