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

A Method for Constructing Channel State Information Localization Fingerprint Based on Tensor Decomposition

A technology of channel state information and positioning fingerprints, which is applied to services based on location information, services based on specific environments, complex mathematical operations, etc., to achieve the effect of improving capabilities

Active Publication Date: 2022-04-29
CHONGQING UNIV OF POSTS & TELECOMM
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Wi-Fi-based indoor positioning methods mainly obtain CSI through personal computers. At present, there are few studies on using smart phones to obtain CSI for positioning. For the first time, Schulz et al. proposed to use Nexmon firmware patch on mobile devices to modify Wi-Fi firmware. And build a Wi-Fi test platform to extract CSI

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
  • A Method for Constructing Channel State Information Localization Fingerprint Based on Tensor Decomposition
  • A Method for Constructing Channel State Information Localization Fingerprint Based on Tensor Decomposition
  • A Method for Constructing Channel State Information Localization Fingerprint Based on Tensor Decomposition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] specific implementation plan

[0032] The present invention will be further described below in conjunction with accompanying drawing:

[0033] like figure 1 The shown method for constructing channel state information location fingerprints based on tensor decomposition specifically includes the following steps:

[0034] Step 1, expressing the collected original channel state information (Channel State Information, CSI) data as a three-dimensional image with the subcarrier sequence on the X axis, the time stamp on the Y axis, and the CSI amplitude on the Z axis;

[0035] Step 2. Treat the 3D image obtained in Step 1 as a third-order tensor and express it via a linear combination of rank tensors as in, and is the unit vector obtained by decomposing the r-th rank tensor in the three dimensions of the image; the symbol Represents the outer product operation of vectors; λ r is the component singular value of the r-th rank tensor, which describes the proportion of ...

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 channel state information positioning fingerprint construction method based on tensor decomposition. First, the collected original channel state information (Channel State Information, CSI) data is represented as a three-dimensional image; then the three-dimensional image is regarded as a third-order tensor; then the analysis model based on Parallel Factor (PARAFAC) The tensor decomposition algorithm combined with the Alternate Least Squares (ALS) iterative algorithm is used for tensor noise reduction processing; then, the tensor wavelet decomposition algorithm is used to perform a single-layer tensor on the three dimensions of the CSI image Quantitative wavelet decomposition, and the use of angular second-order moments to calculate the wavelet coefficients of each wavelet subcomponent; finally, the CSI positioning fingerprints corresponding to the coordinates of each reference point are obtained. The present invention makes full use of the characteristics that high-order tensors can describe data information and structures, expresses complex data in the form of tensors, finally realizes noise reduction and feature extraction of tensor images, and improves the ability of data processing and analysis.

Description

technical field [0001] The invention belongs to indoor positioning technology, in particular to a channel state information positioning fingerprint construction method based on tensor decomposition. Background technique [0002] With the gradual development of the mobile Internet era to the Internet of Things era, location-based services (Location-based Service, LBS) have become more and more widely used in people's lives. Currently popular wireless positioning systems include Global Positioning System (Global Position System, GPS), cellular positioning system, Bluetooth positioning system, radio frequency identification positioning system, ZigBee positioning system and WLAN positioning system. Among them, the GPS positioning system is the most common because it has better performance in the field of outdoor positioning. However, in the indoor environment, due to the occlusion of various obstacles and moving objects, the satellite signal attenuation is very serious, which m...

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): H04W4/02H04W4/021H04W4/33G06F17/14
CPCH04W4/021H04W4/023H04W4/33G06F17/148
Inventor 周牧龙玥辛谢良波聂伟王勇何维
Owner CHONGQING UNIV OF POSTS & TELECOMM
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