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

Weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement

A weighted least squares, distance ranging technology, applied in positioning, measuring devices, navigation calculation tools, etc., can solve the problems of reduced positioning accuracy, inability to meet high-precision positioning requirements, and interference of positioning results, and achieve improved accuracy. Effect

Active Publication Date: 2017-05-31
TIANJIN UNIV
View PDF2 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Satellite-based positioning technology and mobile cellular network-based positioning technology are greatly affected by buildings, and the positioning accuracy will be greatly reduced in scenes where buildings such as schools, warehouses, and shopping malls are relatively concentrated, and cannot meet the high-precision positioning requirements
[0003] In indoor positioning, electromagnetic waves will reflect when encountering the ground, ceiling, walls, obstacles, etc. during transmission, resulting in multipath effects, which lead to changes in the energy, phase, time and other information of the signals received by the receiver , which seriously interferes with the positioning results

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
  • Weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement
  • Weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement
  • Weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] In order to verify the effectiveness of the proposed algorithm, the present invention has carried out experimental simulation in matlab. Among them, the multipath channel model adopts a statistical channel model, and the maximum multipath number of the signal received by the reader changes from 3 to 10 in sequence, and is positioned at 10×10m 2 The positioning area is carried out, and the specific application in this implementation example is as follows:

[0017] 1. Arrange the positioning scene. Place four readers at the four corners of the area to be located, and lay 9 reference tags equidistantly on the ground, such as figure 1 shown.

[0018] 2. Estimation of the distance between the reader and the tag to be located. Using the phase difference received by the reader to estimate the distance between the reader and the tag, the ranging error caused by the multipath effect and Gaussian white noise is equivalent to a Gaussian distribution, and the estimated distance ...

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 weight least square indoor positioning algorithm based on phase difference Euclidean distance measurement. The weight least square indoor positioning algorithm comprises the following steps: arranging a positioning RFID (Radio Frequency Identification Devices) reader and a reference marker; estimating the distance between the reader and the maker according to a phase difference received by the reader, equalizing a distance measurement error caused by a multipath effect and Gaussian white noise to be Gaussian distribution, and enabling mean values and variances of deviation of estimated distances between the reference marker and the readers and actual distances to form position parameters and scale parameters of Gaussian distribution parameters; estimating the distance between the reference marker and a marker to be positioned; by taking the reciprocal of the variance of an estimation error of the distance between the marker to be positioned and the reader and the reference marker as a weighting factor, solving a positioning problem by using a weight least square algorithm. The weight least square indoor positioning algorithm has the characteristics of being relatively high in precision.

Description

technical field [0001] The invention relates to an indoor positioning problem. Background technique [0002] Positioning technology has brought great convenience to people's lives. In recent years, with the rapid development of the Internet of Things, people's demand for positioning has become higher and higher, and the application of indoor positioning technology has become more extensive. Satellite-based positioning technology and mobile cellular network-based positioning technology are greatly affected by buildings. In scenes where buildings such as schools, warehouses, and shopping malls are relatively concentrated, the positioning accuracy will be greatly reduced, which cannot meet the high-precision positioning requirements. [0003] In indoor positioning, electromagnetic waves will reflect when encountering the ground, ceiling, walls, obstacles, etc. during transmission, resulting in multipath effects, which lead to changes in the energy, phase, time and other informa...

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): G01C21/20G01S5/06
Inventor 马永涛苗新龙高政
Owner TIANJIN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com