Cell measurement report positioning method and system based on channel model feature extraction

Abstract

The invention provides a cell measurement report positioning method and system based on channel model feature extraction. The method comprises the following steps of collating MR data in a sample setaccording to a preset collation rule in order to obtain a signal characteristic vector corresponding to each piece of MR data; converting longitude and latitude of each sampling point in the sample set into a distance and an azimuth angle of the sampling point relative to a signal transmission point of a main cell; training by utilizing the signal characteristic vector and the distance and the azimuth angle of the sampling point relative to the signal transmission point of the main cell in order to generate a distance channel model and an azimuth angle channel model of the main cell; and applying the MR data of a to-be-positioned sampling point to the distance channel model and the azimuth angle channel model of the main cell. According to the method, the positioning of the to-be-positioned sampling point is realized, the calculated amount needed by positioning is effectively controlled on the premise that the positioning accuracy is guaranteed, and the practicability of the positioning method is guaranteed.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a cell measurement report positioning method and system based on channel model feature extraction. Background technique [0002] After accessing a nearby cell, the user equipment (User Equipment) will regularly measure the received signal strength, signal quality and other information to form a measurement report (Measurement Report) to assist mobility management tasks such as access, handover, and release. , MR) and report to the currently accessed cell. About 2% of these measurement reports include the latitude and longitude (Assisted Global Positioning System, AGPS) of the measurement point (the point where the user terminal is located). In application scenarios such as network optimization and positioning of mobile users, it is necessary to use the 2% of the data carrying latitude and longitude to locate the remaining 98% of the sampling points that do not carry latit...

AI Technical Summary

Problems solved by technology

The main defect of this method is that in order to achieve application-level positioning accuracy, on the one hand, the fingerprint library is required to be complete enough, and all areas covered by the community should have fingerprints, which is almost impossible for communities located in the suburbs; on the other hand, A complete fingerprint library and higher positioning accuracy will make the fingerprint library very large, and data query and indexing will become a heavy coverage, which will affect the efficiency of positioning

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