Supercharge Your Innovation With Domain-Expert AI Agents!

Ultra-wideband/PDR indoor positioning method based on adaptive noise reduction algorithm

An indoor positioning and ultra-broadband technology, applied in complex mathematical operations, navigation calculation tools, measurement devices, etc., can solve problems such as incompetence in NLOS scenarios, limited transmission distance, etc., to eliminate dependencies, improve positioning accuracy, and ensure robustness Effect

Pending Publication Date: 2022-01-07
SOUTHEAST UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the transmission distance of UWB signals indoors is limited, and the signal will generate large errors when bypassing obstacles, it is not suitable for NLOS scenarios or indoor scenarios with blind spots

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
  • Ultra-wideband/PDR indoor positioning method based on adaptive noise reduction algorithm
  • Ultra-wideband/PDR indoor positioning method based on adaptive noise reduction algorithm
  • Ultra-wideband/PDR indoor positioning method based on adaptive noise reduction algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0060] The present invention aims to provide an ultra-wideband / PDR indoor positioning method based on an adaptive noise reduction algorithm. First, a dual-frequency Butterworth filter is used for gait detection, and the step size is estimated based on an empirical model, and then the step size and heading information are combined. Establish the pedestrian dead reckoning PDR model and calculate the target position; periodically calibrate the target position through the drift-free output of the ultra-wideband system; finally, dynamically adjust the noise distribution through the NLOS evaluation function, and use the variable noise variance Kalman filter algorithm to establish UWB / PDR combined positioning model. The improved PDR / UWB combined positioning system of the invention provides accurate positioning information for indoor positioning applic...

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 an ultra wide band / PDR indoor positioning method based on an adaptive noise reduction algorithm. The algorithm comprises steps of firstly establishing an ultra-wideband positioning model and a pedestrian dead reckoning (PDR) model in the fusion indoor positioning method, then constructing a non-line-of-sight observation evaluation function based on Gaussian distribution to evaluate the probability of signal transmission attenuation, and dynamically adjusting noise distribution according to non-line-of-sight observation conditions. The invention provides a Kalman filter capable of dynamically adjusting noise variance. If NLOS exists, positioning coordinates of the PDR and the UWB are fused through an adaptive filtering noise reduction algorithm, and UWB resolving coordinate data are corrected; and if the NLOS does not exist, the current coordinate is analyzed by using UWB, and real-time positioning is completed. The improved PDR and ultra wide band combined positioning system provides accurate positioning information for indoor positioning application, and has advantages of high precision and strong robustness.

Description

technical field [0001] The invention belongs to the field of indoor positioning methods, in particular to an ultra-wideband / PDR indoor positioning method based on an adaptive noise reduction algorithm. Background technique [0002] With the increasing number of human indoor activities and the rapid development of technologies such as virtual reality, it is particularly critical to obtain the location of pedestrians in indoor environments. Due to the influence of complex environments, commonly used satellite positioning systems cannot meet the requirements of indoor positioning. In order to improve the positioning accuracy of indoor positioning technology and meet the dynamic performance of pedestrian positioning, research on integrated indoor positioning technology has become a research hotspot in current positioning technology. Currently, existing indoor positioning technologies include infrared, Bluetooth, inertial navigation, wireless fidelity (wireless fidelity, WiFi), u...

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): G01C21/20G06F17/12G06F17/15G06F17/16G06F17/18
CPCG01C21/206G06F17/12G06F17/15G06F17/16G06F17/18
Inventor 王庆李静阳媛李明
Owner SOUTHEAST UNIV
Features
  • R&D
  • 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

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com