Supercharge Your Innovation With Domain-Expert AI Agents!

Intelligent terminal indoor positioning method and system based on WIFI double-frequency fusion

A smart terminal and indoor positioning technology, applied in specific environment-based services, positioning, neural learning methods, etc., can solve the problems of low positioning cost, difficult to popularize and apply smart terminals, difficult to apply to typical indoor scenes, etc., to increase the feature dimension , enhanced usability and stability

Active Publication Date: 2022-01-14
广州优刻谷科技有限公司
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the cost and power consumption of mainstream ultra-wideband positioning solutions are too high, and the support of smart terminals and other terminals is limited, so it is difficult to realize popular application in smart terminals. Smart terminals, such as smart phones, generally support the reception of Bluetooth signals and WIFI signals. Positioning with WIFI technology or Bluetooth technology is possible
Indoor positioning based on Bluetooth technology is low in cost but limited in operating distance, and the 2.4GHz frequency band where it is located has serious interference, making it difficult to apply to typical indoor scenarios with complex electromagnetic environments such as smart offices and smart supermarkets.

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
  • Intelligent terminal indoor positioning method and system based on WIFI double-frequency fusion
  • Intelligent terminal indoor positioning method and system based on WIFI double-frequency fusion
  • Intelligent terminal indoor positioning method and system based on WIFI double-frequency fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] Such as figure 1 as shown, figure 1 It is a schematic flow diagram of the framework of the intelligent terminal indoor positioning method based on WIFI dual-frequency fusion provided by the present invention. It includes two stages, the deep neural network training stage and the online positioning stage. These two steps will be described one by one below.

[0026] Among them, the deep neural network training stage includes the following steps:

[0027] 1) Reference point selection;

[0028] 2) Dual-frequency signal frequency division processing;

[0029] 3) CSI dual-frequency data extraction and splicing;

[0030] 4) Construction of dual-frequency fingerprint feature library;

[0031] 5) Deep neural network training.

[0032] In the above step 1), select an indoor reference point, collect the position coordinates of the reference point and the WiFi dual-frequency signal of the reference point based on the dual-frequency WIFI transmitter; in this embodiment, the Wi...

Embodiment 2

[0063] This embodiment provides an intelligent terminal indoor positioning system based on WIFI dual-frequency fusion, such as image 3 shown, including memory and processor;

[0064] Wherein the memory stores a program, and when the program is called and executed by the processor, the steps of the indoor positioning method for an intelligent terminal based on WIFI dual-frequency fusion described in Embodiment 1 are executed.

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 relates to an intelligent terminal indoor positioning method based on WIFI dual-frequency fusion, and the method comprises the steps: selecting an indoor reference point, and collecting the position coordinates of the reference point and a WiFi dual-frequency signal of the reference point based on a dual-frequency WIFI transmitter; extracting a dual-frequency CSI fingerprint feature of the reference point based on the WiFi dual-frequency signal of the reference point; associating the dual-frequency CSI fingerprint features with the position coordinates of the reference points; wherein the dual-frequency CSI fingerprint features of all the reference points form a dual-frequency fingerprint feature library; constructing a deep neural network, and training the deep neural network by using the dual-frequency CSI fingerprint features in the dual-frequency fingerprint feature library; and acquiring a WiFi dual-frequency signal of the position of the intelligent terminal, processing the WiFi dual-frequency signal to obtain a dual-frequency CSI fingerprint feature of the position of the intelligent terminal, inputting the dual-frequency CSI fingerprint feature into the trained deep neural network, and outputting a positioning result of the position of the intelligent terminal by the deep neural network.

Description

technical field [0001] The present invention relates to the technical field of intelligent terminals, and more specifically, to an indoor positioning method and system for intelligent terminals based on WIFI dual-frequency fusion. Background technique [0002] With the rapid development and popularization of smart terminals, there is a huge demand for terminal-based location services. Nowadays, GNSS-based smart terminal positioning has developed maturely in outdoor scenarios, but it is difficult for smart terminals to receive GNSS signals indoors because GNSS is difficult to reach, which affects the realization of positioning. Therefore, in the field of indoor positioning, the technology of using radio frequency signals such as WIFI, Bluetooth, and UWB, and using many data sources such as visible light signals and sound signals for indoor positioning research has been developed. [0003] At present, the cost and power consumption of mainstream ultra-wideband positioning sol...

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): H04W64/00H04W4/33H04W84/12G06N3/04G06N3/08G01C21/20G01S5/02
CPCH04W64/00H04W64/006H04W4/33H04W84/12G06N3/08G01C21/206G01S5/02G06N3/045
Inventor 郑飞州陈胜俭陈政霖
Owner 广州优刻谷科技有限公司
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