An indoor positioning method and a device based on WIFI

An indoor positioning and fingerprint data technology, which can be used in services based on location information, services based on specific environments, instruments, etc., and can solve problems such as affecting positioning effect, overfitting, and large amount of calculation.

Inactive Publication Date: 2018-12-18
GUANGDONG XIAOTIANCAI TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above WIFI-based positioning methods have the following problems: the KNN-based WIFI positioning method and the WKNN-based WIFI positioning method have a large amount of calculation, and the SVM-based WIFI positioning method has difficulty describing the complex WIFI signal distribution. The problem of the model and the over-fitting problem in the WIFI positioning method based on the multi-layer neural network, these problems affect the positioning effect, and urgently need to be solved by those skilled in the art to improve the positioning effect in indoor scenes

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  • An indoor positioning method and a device based on WIFI
  • An indoor positioning method and a device based on WIFI
  • An indoor positioning method and a device based on WIFI

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Experimental program
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Embodiment 1

[0077] see figure 1 , figure 1 It is a schematic flowchart of a WIFI-based indoor positioning method disclosed in an embodiment of the present invention. Such as figure 1 As shown, the WIFI-based indoor positioning method may include the following steps:

[0078] 101. Obtain WIFI fingerprint data to be located.

[0079] In the embodiment of the present invention, the WIFI fingerprint data to be located is the received signal strength value (Received Signal Strength Indicator, RSSI) of each WIFI access point received by the electronic device at a certain indoor position, for example, the certain indoor position receives There are n WIFI access points, and the RSSIs matching the n WIFI access points at the certain indoor location are respectively RSSI1, RSSI2, RSSI3, ..., RSSIn, and the set {RSSI1, RSSI2, RSSI3, ..., RSSIn} is the WIFI fingerprint data to be located.

[0080] 102. Use the WIFI fingerprint data to be located as the input parameters of the target model, and o...

Embodiment 2

[0085] see figure 2 , figure 2 It is a schematic flowchart of another WIFI-based indoor positioning method disclosed in an embodiment of the present invention. Such as figure 2 As shown, the WIFI-based indoor positioning method may include the following steps:

[0086] 201. Collect signal strength values ​​of several WIFI access points matching each preset indoor location among several preset indoor locations.

[0087] In the embodiment of the present invention, the preset indoor location may be a predetermined indoor location, where the number of the collected preset indoor locations is not limited in the embodiment of the present invention.

[0088] As an optional implementation manner, before collecting the signal strength values ​​of several WIFI access points matched by each preset indoor location in several preset indoor locations, the following steps may also be performed:

[0089] Detecting the requirement information input by the user, the requirement information...

Embodiment 3

[0123] see Figure 5 , Figure 5 It is a schematic flowchart of another WIFI-based indoor positioning method disclosed in an embodiment of the present invention. Such as Figure 5 As shown, the WIFI-based indoor positioning method may include the following steps:

[0124] 501. Collect signal strength values ​​of several WIFI access points matching each preset indoor location among several preset indoor locations.

[0125]502. Determine several signal strength values ​​that match each preset indoor location as WIFI fingerprint data samples that match the preset indoor location, and obtain a WIFI fingerprint data sample library; the WIFI fingerprint data sample library includes preset indoor locations and WIFI fingerprint data samples corresponding to preset indoor locations.

[0126] 503 . Train the SAE according to the WIFI fingerprint data samples in the WIFI fingerprint data sample database to obtain a target SAE encoder.

[0127] 504. Obtain a model to be trained based...

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Abstract

The invention discloses an indoor positioning method and a device based on WIFI. The method comprises the following steps: obtaining WIFI fingerprint data to be positioned; by taking the WIFI fingerprint data to be located as an input parameter of a target model, obtaining an output parameter matching with the input parameter of the target model, wherein the target model is obtained by training astacked automatic encoder SAE and a depth neural network DNN classifier according to a plurality of WIFI fingerprint data samples; determining a location information match with that WIFI fingerprint data to be located according to the output parameter. By implementing the embodiment of the invention, the calculation amount of indoor positioning can be reduced, the complex WIFI signal distributionmodel can be described, and the over-fitting phenomenon can be reduced, so that the indoor positioning effect can be improved.

Description

technical field [0001] The present invention relates to the technical field of indoor positioning, in particular to a WIFI-based indoor positioning method and device. Background technique [0002] Currently, a common positioning method is to utilize a Global Positioning System (Global Positioning System, GPS) to achieve positioning. This GPS-based positioning method has the advantage of high precision outdoors, but the GPS signal is very weak indoors, resulting in poor positioning effect of the GPS positioning method in indoor scenes. [0003] In practice, it is found that there are usually a large number of WIFI access points in indoor scenes, so the current indoor positioning method mainly adopts WIFI-based positioning methods, such as K-Nearest Neighbor (K-Nearest Neighbor, KNN)-based WIFI positioning methods, weighted-based K nearest neighbor (Weighted Nearest Neighbor, WKNN) WIFI positioning method, WIFI positioning method based on Support Vector Machine (SVM), and WIF...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/02H04W4/33H04W64/00G06K9/62
CPCH04W4/025H04W4/33H04W64/00G06F18/214
Inventor 江顺尧
Owner GUANGDONG XIAOTIANCAI TECH CO LTD
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