Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

UWB positioning method based on KF algorithm, Chan algorithm and Taylor algorithm

A positioning method and algorithm technology, applied in the field of positioning and navigation, can solve problems such as the influence of ranging accuracy, and the positioning accuracy is difficult to reach centimeter level, and achieve the effect of improving positioning accuracy, high engineering application and commercial value, and reducing non-line-of-sight errors.

Inactive Publication Date: 2019-01-11
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
View PDF5 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, domestic and international research on UWB positioning technology is in the ascendant, and most of them are only for the positioning technology research in the line-of-sight environment, but the ranging accuracy is easily affected in the line-of-sight and non-line-of-sight environment, and traditional positioning methods are used. The positioning accuracy is difficult to reach the centimeter level, so the high-precision UWB positioning method needs to be studied urgently

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
  • UWB positioning method based on KF algorithm, Chan algorithm and Taylor algorithm
  • UWB positioning method based on KF algorithm, Chan algorithm and Taylor algorithm
  • UWB positioning method based on KF algorithm, Chan algorithm and Taylor algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] The present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0047] Such as figure 1 As shown, the UWB positioning method based on KF algorithm, Chan algorithm and Taylor algorithm of the present invention comprises the following steps:

[0048] Step 1, place the tag to be tested on the carrier to be tested, and in the environment of four positioning base stations, establish a fitting equation for the distance from the tag to be tested to each base station, and perform the fitting process; the fitting method is Linear fitting method, the distance from the tag to be tested to each base station is the average value of the distance from the tag to be tested to each positioning base station collected when the tag to be tested is placed statically;

[0049] Step 2, using the Kalman filter model to filter the fitting result of the step 1:

[0050]KF (Kalman filter) has the advantages of high efficiency, real...

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 UWB positioning method based on a KF algorithm, a Chan algorithm and a Taylor algorithm. The method includes the following steps: step 1, setting a to-be-detected tag on a to-be-detected carrier, and carrying out fitting processing for distance from to-be-detected tag to each base station in an environment of the four positioning base stations; step 2, using distance values of the step 1 after real-time fitting as measurement values of Kalman filtering to carry out Kalman filtering to obtain distance values after filtering; step 3, using the Chan algorithm on the distance values of the step 2 after Kalman filtering to obtain estimation positions of the to-be-detected tag; and step 4, using the estimation positions, which are of the to-be-detected tag and are calculated by the Chan algorithm in the step 3, as initial values of the Taylor algorithm, and carrying out Taylor algorithm calculation to obtain final estimation positions of the to-be-detected tag. According to the method, linear fitting equations are established for the distance from the to-be-detected tag to each base station, Kalman filtering processing is carried out on results after filtering,non-line-of-sight errors are reduced, ranging results are enabled to be stable and closer to true values, and positioning accuracy is improved.

Description

technical field [0001] The invention relates to a UWB positioning method based on a KF algorithm, a Chan algorithm and a Taylor algorithm, and belongs to the technical field of positioning and navigation. Background technique [0002] Indoor precise positioning and navigation, as one of the main areas of civil navigation technology development in recent years, has received great attention and development. Indoor precise positioning and navigation services are becoming more and more important to people's lives, especially indoors with complex environments, such as exhibition halls, In warehouses, underground garages, subways, fitness centers, large shopping malls, libraries and other places, indoor precise positioning and navigation technology is currently in a period of rapid development, and various indoor precise positioning and navigation technologies are still in the research stage, which cannot meet the needs of indoor precise positioning application requirements. [0...

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
IPC IPC(8): G01C21/20H04W64/00
CPCG01C21/206H04W64/00
Inventor 徐丽敏熊智熊骏张玲王融许建新王钲淳张苗段胜青丁一鸣
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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
Eureka Blog
Learn More
PatSnap group products