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

WiFi indoor positioning system and method based on adaptive noise cancellation

A noise cancellation and indoor positioning technology, applied in the field of signal processing, can solve the problems of untimely positioning, positioning accuracy deviation, noise reduction processing, etc., and achieve the goals of improving convergence and stability, accurate indoor positioning accuracy, and solving amplitude distortion Effect

Active Publication Date: 2020-09-08
XIDIAN UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of method does not perform noise reduction processing on the received signal of the handheld signal receiver, nor does it improve the signal-to-noise ratio of the WiFi signal. Various noises cause the handheld signal receiver to receive a distorted WiFi signal, which seriously affects the measured value. Matching with location fingerprints, resulting in deviations in positioning accuracy and untimely 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
  • WiFi indoor positioning system and method based on adaptive noise cancellation
  • WiFi indoor positioning system and method based on adaptive noise cancellation
  • WiFi indoor positioning system and method based on adaptive noise cancellation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] With the advent of the Internet era, the demand for indoor positioning has also expanded rapidly. The current common indoor positioning technology is the location fingerprint positioning method. Stop, various external noises will cause the amplitude distortion of the WiFi signal, the signal-to-noise ratio will decrease, and the signal value received at the same location at different times will be unstable. The location fingerprint method does not process the received WiFi signal superimposed with noise, and cannot track changes in the external environment, resulting in inaccurate positioning accuracy and other problems.

[0035] In WLAN indoor positioning, the indoor parking lot environment covered by WLAN is mostly complex, such as walls and obstacles, which will affect the signal propagation process, resulting in multiple reflections, scattering and diffraction. In the parking lot, car noise is unavoidable. In WLAN indoor positioning, most of the indoor parking lot e...

Embodiment 2

[0038] The overall composition of the WiFi indoor positioning system based on adaptive noise cancellation is the same as in Embodiment 1. In the present invention, the first delayer and the second delayer synchronously adjust the mixed signal value collected by the mixed signal picker, so that the mixed signal value The delay value l is reached after the same time delay, and the delay value l is less than the correlation length cl of the WiFi signal s and greater than the correlation length cl of the interference noise n , the selected delay value l makes the WiFi signal correlated at time k and (k+l) time, while the noise signal is not correlated at time k and (k+1) time.

[0039] In the present invention, a first delayer is added between the mixed signal pickup unit and the adaptive noise extraction subsystem, and the delay l of the mixed signal is adjusted by the first delayer at time k, and the delay value l is less than the correlation of the WiFi signal length cl s and...

Embodiment 3

[0042] The present invention is also a WiFi indoor positioning method based on adaptive noise cancellation, which is implemented on the above-mentioned WiFi indoor positioning system based on adaptive noise cancellation. The WiFi indoor positioning system based on adaptive noise cancellation is the same as that in Embodiment 1-2, based on Adaptive noise cancellation WiFi indoor positioning method, the working mode is divided into two stages: offline training stage and online matching stage, see image 3 , the output signal of the adaptive noise extraction subsystem is used as an input signal of the adaptive noise canceller, including the following steps:

[0043] Offline training phase:

[0044] (1) Establish a one-dimensional basic coordinate system: establish a grid coordinate system at equal intervals on the ground in the room to be positioned. According to the actual situation of the site, arrange multiple APs so that the signal can completely cover the area to be position...

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 WiFi indoor positioning system and method based on self-adaptive noise cancellation, and solves the problem that the indoor positioning accuracy is affected due to amplitudechange of WiFi signals due to noises. Delayers are additionally arranged between a mixed signal pickup unit and a self-adaptive noise extraction subsystem and between the mixed signal pickup unit anda self-adaptive noise canceller. Firstly, a one-dimensional basic coordinate system is built in an offline stage; a position fingerprint database is constructed; in an online stage, the signals related to the noises and unrelated to WiFi are extracted firstly; the noises are cancelled, and the real WiFi signals are extracted; and data is matched to complete positioning. Delay values l of the two delayers are synchronously adjusted; the WiFi signal at the (k+l) moment is predicted by using the WiFi signal at the k moment; the output signals are in maximum correlation with the real WiFi signalsand rapidly approach the real WiFi signals; the convergence and stability of the filter are relatively high; the WiFi error rate caused by the noises is reduced; the signal-to-noise ratio of the WiFisignals is improved; and the indoor positioning accuracy is improved. The WiFi indoor positioning system and method is used for WiFi indoor positioning.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and mainly relates to indoor positioning, in particular to a WiFi indoor positioning system and method based on adaptive noise cancellation, which are used for indoor positioning in a WiFi environment. Background technique [0002] With the advent of the mobile Internet era, smart phones are becoming more and more popular, and WiFi has become an essential function. The positioning service market is also developing rapidly, and the demand for positioning is increasing rapidly. GPS can better meet the positioning needs of outdoor environments, but in relatively closed or complex environments, GPS positioning usually cannot achieve good results or even fail to locate. The WiFi indoor positioning technology based on location fingerprints has the advantages of simple implementation, low cost, high positioning accuracy, good robustness, and strong scalability. A hot area in technology. Posi...

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): H04W4/02H04W4/021H04W4/33H04W64/00H04B1/12
CPCH04B1/123H04W4/021H04W4/023H04W4/33H04W64/00
Inventor 邓军叶楠张效铭张玺赵建勋景艳赵双郝立芳
Owner XIDIAN UNIV
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

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