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Construction method of wifi indoor positioning fingerprint database based on generative adversarial network

An indoor positioning and construction method technology, applied in the field of positioning fingerprint library construction, can solve the problem of small number of samples, reduce the number of signal sampling and improve the construction efficiency

Active Publication Date: 2018-03-23
HEFEI UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method does not use a fast and convenient method to obtain new data, and the number of samples is small

Method used

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  • Construction method of wifi indoor positioning fingerprint database based on generative adversarial network
  • Construction method of wifi indoor positioning fingerprint database based on generative adversarial network
  • Construction method of wifi indoor positioning fingerprint database based on generative adversarial network

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Embodiment Construction

[0046] In this embodiment, a method for constructing a WIFI indoor positioning fingerprint library based on a generative confrontation network includes the following steps:

[0047] Step 1, such as figure 1 As shown, the circumscribed rectangle of a classroom is used as the WIFI indoor positioning area, and the WIFI indoor positioning area is evenly divided into 49 square grids; the center point of each square grid is used as the reference point to form a set of reference points, which is recorded as CP={CP 1 ,CP 2 ,...,CP i ,...,CP 49}, where CP i Indicates the reference point in the i-th square grid, i=1,2,...,49;

[0048] Step 2. Set up a router with 2 antennas outside the WIFI indoor positioning area as the transmitting device, which is recorded as AP, and set a device with 3 antennas at each reference point as the receiving device;

[0049] The i-th reference point CP i During a period of time, the receiving device is used to continuously collect 5000 WIFI signals ...

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Abstract

The invention discloses a construction method of a wifi indoor positioning fingerprint database based on a generative adversarial network. The method includes the steps of 1, obtaining the channel state information, namely CSI data, for measuring the channel condition through measurement; 2, respectively processing CSI data of each position into corresponding amplitude phase characteristic graph to preliminarily construct a fingerprint database; 3, sending the obtained amplitude phase characteristic graphs to the generative adversarial network for training to generate more amplitude phase characteristic graphs, so as to construct a wifi indoor positioning fingerprint database with sufficient samples. The signal sampling quantity is reduced by using the generative adversarial network to generate amplitude phase characteristic graphs with different positions, so that the problem that a library cannot be effectively built when the CSI data is insufficient is solved, the measurement efficiency is improved, and the method is simple and convenient to implement.

Description

technical field [0001] The invention relates to the field of indoor positioning, in particular to a method for constructing a positioning fingerprint library. This method expands the sample library through the Gaussian regression process and the deep convolutional generation confrontation network, which is suitable for efficient library building when complete data cannot be obtained under limited conditions. Background technique [0002] With the rapid development of mobile Internet technology, location-based service requirements and applications are more and more widely used in life. Taking the smart terminal as the platform, the indoor positioning system based on WLAN is a research hotspot in recent years, which has the characteristics of simple operation and low cost. At present, the research on indoor positioning system mainly focuses on the construction of fingerprint library in the offline stage and the implementation of positioning in the online stage. How to effici...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06K9/62G06N3/08H04W4/02H04W4/33H04W64/00
CPCH04W64/00G06N3/086G06N3/048G06F18/214
Inventor 李奇越曲恒黎洁张凯孙伟周娜娜
Owner HEFEI UNIV OF TECH
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