Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Rapid fingerprint positioning method based on large-scale MIMO single-station system

A fingerprint positioning, large-scale technology, applied in the field of fast fingerprint positioning, signal and information processing, can solve the problem of high time complexity of online positioning, achieve high positioning accuracy, improve positioning speed, and improve the effect of online positioning speed

Active Publication Date: 2019-10-25
SOUTHEAST UNIV
View PDF8 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the problem of high online positioning time complexity existing in existing fingerprint positioning methods, the present invention provides a fast fingerprint positioning method based on massive MIMO single-station system. Classification, the result of the rough classification is mapped through the local sensitivity hash function again to obtain the result of the second-order fine classification, so as to achieve more efficient and fast online fingerprint positioning

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
  • Rapid fingerprint positioning method based on large-scale MIMO single-station system
  • Rapid fingerprint positioning method based on large-scale MIMO single-station system
  • Rapid fingerprint positioning method based on large-scale MIMO single-station system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0023] Such as figure 1 The overall process of the technical solution shown, the fingerprint positioning method is divided into two stages: offline stage and online stage. In the offline stage, the signal fingerprint of each reference point needs to be collected first, and then stored in the fingerprint database after preprocessing. When the unknown terminal is positioned, it is necessary to first collect the corresponding fingerprint of the terminal to be tested, and then use the proposed CAOA-LSHWKNN matching algorithm to estimate the position, and return the result to the terminal that needs positioning. The specific operation of each step is described in detail below.

[0024] Step1: first the present invention designs the required ADCPM fingerprint matrix for follow-up fingerprint matching, and this fingerprint matrix is ​​a large-scale MIMO-...

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 discloses a rapid fingerprint positioning method based on a large-scale MIMO single-station system. The method comprises the following steps: designing an ADCPM fingerprint matrix for subsequent fingerprint matching; preliminarily storing the fingerprint matrix and sparsely storing the fingerprint matrix through a ternary table; performing first-order coarse classification on the fingerprint matrix based on a center angle of arrival (CAOA), and mapping the coarsely classified fingerprint matrix through a local sensitivity hash function again to obtain a second-order fine classification result; and finally, carrying out online stage fingerprint positioning on the finely classified fingerprint matrix through a weighted KNN method. By using the method provided by the invention,compared with the traditional fingerprint positioning method, the online positioning speed under a large-scale fingerprint database can be improved, and higher positioning precision can be maintained.

Description

technical field [0001] The invention relates to a fast fingerprint positioning method based on a large-scale MIMO single-station system, which belongs to signal and information processing technology. Background technique [0002] Due to security and commercial requirements, the problem of how to obtain accurate location information of targets has attracted widespread attention from industry and academia, and it is called Location-Based Service (LBS). The relatively mature LBS technology is a global positioning system (Global Positioning System, GPS) technology originated from military applications, but GPS is affected by environmental noise, multipath interference, non-line-of-sight paths, etc., not only has low positioning accuracy, but also consumes power. Big. Traditional positioning methods based on wireless networks usually assume that wireless signals propagate along the line-of-sight (LOS), and then pass the received signal energy (Receiving Signal Strength, RSS), an...

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 Applications(China)
IPC IPC(8): H04W4/02H04W64/00H04B7/0413
CPCH04B7/0413H04W4/02H04W64/00
Inventor 王霄峻刘琳林燕陈晓曙
Owner SOUTHEAST UNIV
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More