Method for rapidly and accurately positioning mobile terminal

Abstract

The invention relates to the field of wireless communication, in particular to a method for rapidly and accurately positioning a mobile terminal. The method is characterized by comprising the following steps of: analyzing a geographical scene and a wireless scene of each cell in a network; sequentially establishing a covering and screening feature library of each cell; obtaining a primary positioning result; obtaining a TA (Terminal Adapter) value positioning result; determining a screening range of M meters from a primary positioning point, wherein the value of M is determined by the TA value positioning result; acquiring predicted data in a region which needs to be positioned; acquiring a fingerprint judgment feature value of each related cell; obtaining a matching value of a geographical position; recording fingerprint features which can be taken for reference; and obtaining a final positioning result. The method has the advantages that a report point is subjected to primary positioning by an improved CHAN method and the matching range of a fingerprint feature library is shortened; the rapid positioning is realized and the positioning cost is low; and the feature library is updated in time according to different metric drive tests and the positioning result is ensured to have high positioning accuracy.

Description

[technical field] [0001] The invention relates to the field of wireless communication, in particular to a method for quickly and accurately locating a mobile terminal. [Background technique] [0002] Some of the current GSM positioning implementations simply process a TA value into a TOA or TDOA value for positioning. TOA and TDOA are both positioning methods based on radio wave propagation time, and they are also three-base station positioning methods. base stations with known locations. The disadvantage is that the positioning accuracy is not high, and the error is generally about 200 meters. [0003] Some have also implemented the fingerprint positioning method LF. Fingerprint positioning can cope with NLOS and multi-path transmission conditions. However, when building a feature database, it completely relies on actual test data. The process is more complicated and the cost is higher. It is necessary to collect the features of all geographical locations in the network. ...

AI Technical Summary

Problems solved by technology

The disadvantage is that the positioning accuracy is not high, and the error is generally about 200 meters

[0003] Some have also implemented the fingerprint positioning method LF. Fingerprint positioning can cope with NLOS and multi-path transmission conditions. However, when building a feature database, it completely relies on actual test data. The process is complicated and the cost is high. It is necessary to collect the features of all geographical locations in the network information

At the same time, when positioning based on the feature library, it is necessary to search all the feature libraries, which is cumbersome and slow

[0004] Although some use the TA value of the cell to filter, the TA value in the GSM network is inaccurate and needs further processing.

[0005] The important thing is that the positioning accuracy of the above positioning methods is not very high, and there is still a certain gap for wireless network optimization.

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