A Fingerprint Positioning Method Based on LTE Signaling Data

A signaling data and fingerprint positioning technology, which is applied in the direction of location information-based services, positioning, wireless communication, etc., can solve the problems of positioning accuracy impact, affecting user experience, and positioning accuracy cannot be guaranteed, so as to achieve small investment and coverage Wide range of results with guaranteed quality and precision

Active Publication Date: 2019-06-28
DALIAN UNIV OF TECH
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After searching the literature of the existing technology, it is found that the current fingerprint positioning method needs mobile data information from multiple base stations when building a fingerprint database. If only mobile data information from one base station can be obtained at a time, the positioning accuracy will be greatly affected. Influence, positioning accuracy can not be guaranteed will directly affect the user experience

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Fingerprint Positioning Method Based on LTE Signaling Data
  • A Fingerprint Positioning Method Based on LTE Signaling Data
  • A Fingerprint Positioning Method Based on LTE Signaling Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] Such as figure 1 As shown, a fingerprint positioning method based on LTE signaling data. The method is mainly divided into offline mode and online mode. The offline mode is mainly to establish the fingerprint database of the target area and use the support vector machine method to train the statistical model of RSRP. Firstly, a drive test is carried out in the target area to collect a large amount of data information. Since there will be noise data in the collected data, we denoise the data according to the observed TA change characteristics. Then use the preprocessed data to build a fingerprint database. At the same time, a statistical model about RSRP is established by using the denoised data. The online mode mainly responds to real-time positioning requests. In the online stage, a set of real-time fingerprint information will be obtained. The method first compares the obtained fingerprint information with the fingerprint library established in the offline mode st...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the computer application technical field, and provides a fingerprint positioning method based on LET signaling data; the method uses TA and RSRP values in the LTE signaling data to build a fingerprint database, and uses a HMM based map coupling mode to carry out map coupling so as to determine an object position, thus positioning the mobile object; the method comprises the following specific steps; signaling data preprocessing; building the fingerprint database; using a support vector machine to train a RSRP statistics model under different base stations; position coupling. The advantages are that the method can use existing communication base stations and network facilities of a communication service provider, so early stage investment is mall; the method can collect the signaling data in all mobile phone signal coverage areas, and is wide in coverage scope; the mobile phone positioning technology can provide rich data sources, thus ensuring data collection quality and precision.

Description

technical field [0001] The invention belongs to the technical field of computer applications and relates to a fingerprint positioning method based on LTE signaling data. Background technique [0002] In recent years, with the rapid development of my country's national economy, the number of mobile phone users has also increased rapidly, and the demand for location-based services has become increasingly strong. Using mobile terminals for geographic positioning is a new direction for the development of mobile communication applications in recent years. The mobile positioning service uses the characteristics of portability and mobility of mobile devices, cooperates with mobile signaling data, to determine the geographical location (latitude and longitude coordinates, etc.) Location provides related geographic information services. [0003] At present, many extended applications have been developed based on mobile data positioning. For example, the use of mobile data positioni...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/02H04W24/10H04W64/00G01S5/02
CPCG01S5/0252H04W4/029H04W4/046H04W24/10H04W64/006
Inventor 申彦明倪磊戴宇心
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap