Indoor positioning method based on channel state information

A channel state information and indoor positioning technology, applied in the field of positioning and navigation, can solve problems such as poor positioning effect and poor stability, and achieve the effects of improving efficiency, reducing data dimensions, and improving positioning accuracy.

Active Publication Date: 2021-02-05
NANJING UNIV OF POSTS & TELECOMM
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the traditional WiFi indoor positioning technology, received signal strength (RSSI) is widely used due to its low cost and easy acquisition, while Bluetooth positioning technology is mainly based on RSSI, because signal attenuation is not only related to distance, but also includes multipath Loss, etc., so this method has the disadvantages of poor stability and poor positioning effect

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
  • Indoor positioning method based on channel state information
  • Indoor positioning method based on channel state information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0041] Such as figure 1 As shown, the present invention discloses an indoor positioning method based on channel state information (CSI), including an offline stage and an online stage, wherein steps 1-5 are completed in the offline stage, and steps 6-7 are completed in the online stage. In this embodiment, the present invention uses a wireless router as a transmitter to send WiFi signals, and the receiving end uses a computer equipped with an Intel 5300 network card, wherein the transmitter has 2 transmitting antennas, and the receiving end has 3 receiving antennas, and each group of CSI The data includes data of 30 subchannels. The indoor positioning method based on channel state information mainly includes the following steps:

[0042] Step 1....

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 provides an indoor positioning method based on channel state information. The indoor positioning method mainly comprises the following steps: measuring and preprocessing the channel state information; constructing a CSI amplitude image and a CSI phase image; extracting color features in the CSI amplitude image and the phase image; constructing a training database based on color features of the CSI amplitude image and the phase image; performing offline learning through a convolutional neural network to obtain a position classification model; and preprocessing the CSI obtained online, constructing a CSI amplitude image and a phase image, respectively extracting color features, and substituting the color features into a position classification model to predict/estimate a target position. According to the invention, the color features of the CSI amplitude image and the CSI phase image are used as positioning fingerprints, and through principal component analysis and wavelettransform, the data dimension can be reduced, the noise of the CSI amplitude information and the CSI phase information can be removed, and the offline learning efficiency can be improved; meanwhile,classification learning is carried out through the convolutional neural network, and the target positioning precision can be improved.

Description

technical field [0001] The invention relates to an indoor positioning method based on channel state information, belonging to the field of positioning and navigation. Background technique [0002] At present, there are many types of indoor positioning technologies, mainly based on radio frequency identification, ultrasonic, infrared, WiFi and other indoor positioning technologies. WiFi indoor positioning technology has become the mainstream due to its high precision, low cost, less equipment, and wide openness. [0003] In the traditional WiFi indoor positioning technology, received signal strength (RSSI) is widely used due to its low cost and easy acquisition, while Bluetooth positioning technology is mainly based on RSSI, because signal attenuation is not only related to distance, but also includes multipath Loss, etc., so this method has the disadvantages of poor stability and poor positioning effect. The channel state information (CSI) has better robustness, can better...

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): H04W4/029H04W4/33H04W64/00H04W72/12
CPCH04W4/33H04W4/029H04W64/003H04W72/54Y02D30/70
Inventor 陆扣华颜俊朱卫平
Owner NANJING UNIV OF POSTS & TELECOMM
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
Try Eureka
PatSnap group products