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Synthetic Generation Method of Indoor Positioning Fingerprint Database Based on Wi-Fi Multipath Similarity

An indoor positioning and fingerprint database technology, which is applied in the field of indoor navigation positioning technology and simulation, can solve the problems of wireless fingerprint database density and stability errors, and spend a lot of time and energy, so as to improve the positioning algorithm and save time and energy. Effect

Active Publication Date: 2021-01-12
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

However, in the offline stage of fingerprint location, it takes a lot of time and effort to establish Received Signal Strength (RSS) fingerprints.
In addition, the density and stability of the wireless fingerprint database may be the most important source of error

Method used

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  • Synthetic Generation Method of Indoor Positioning Fingerprint Database Based on Wi-Fi Multipath Similarity
  • Synthetic Generation Method of Indoor Positioning Fingerprint Database Based on Wi-Fi Multipath Similarity
  • Synthetic Generation Method of Indoor Positioning Fingerprint Database Based on Wi-Fi Multipath Similarity

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Embodiment Construction

[0018] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0019] Such as figure 1 As shown, a comprehensive generation method of indoor positioning fingerprint library based on WiFi multipath similarity, the specific steps are as follows:

[0020] Step 1: Establish densely collected fingerprint grid points in the indoor space to be collected, randomly select a certain number of sparse grid points (accounting for 10% to 50% of the dense grid points) in the grid as actual measured grid points, and collect the selected measured The WiFi signal strength of the grid point establishes a sparse measured WiFi strength fingerprint database, and the WiFi strength fingerprint corresponding to each measured grid point includes the MAC addresses of all WiFi hotspots that can be collected by the measured grid point, WiFi signal strength, the measured The location information of the grid points.

[0021] Step 2. Accor...

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Abstract

The invention discloses an indoor positioning fingerprint database comprehensive generation method based on WiFi multipath similarity. The method comprises the steps: generating dense fingerprints from sparse RSS acquisition data, and on the basis of an existing acquired actually measured sparse WiFi intensity fingerprint database, estimating the simulation WiFi signal intensity of unacquired gridpoints on the basis of WiFi signal multipath similarity (cosine similarity), so a sparse WiFi intensity fingerprint database is supplemented and fitted. The method is efficiently applied to most of existing indoor fingerprint positioning technologies, storage, simulation fusion and correction processing of real collected data are achieved according to the multipath characteristics of indoor positioning WiFi signal intensity fingerprints, and the actual verification and simulation testing of various indoor positioning technologies are facilitated.

Description

technical field [0001] The invention relates to a method for comprehensively generating an indoor positioning fingerprint library based on WiFi multipath similarity, and belongs to the field of indoor navigation and positioning technology and simulation. Background technique [0002] Positioning technology is one of the key technologies of Location Based Service (LBS). Satellite signals are difficult to reach indoors due to interference such as occlusion, so positioning and navigation based on satellite systems are not suitable for indoor positioning. Therefore, this requires other positioning solutions for indoor positioning and navigation. [0003] Indoor positioning techniques based on WiFi strength fingerprints are divided into, and fingerprint-based Wi-Fi positioning is becoming more and more popular due to its existing infrastructure and wide coverage. However, in the offline stage of fingerprint location, it takes a lot of time and effort to establish a Received Sig...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W64/00H04B17/318G01S11/06
CPCG01S11/06H04W64/006H04B17/318
Inventor 阳媛戴鹏王伟朱媛刘江
Owner SOUTHEAST UNIV
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