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Multi-point adaptive update method of indoor wlan fingerprint database based on radial basis interpolation

A multi-point self-adaptive and update method technology, applied in the field of fingerprint database update, can solve the problems of insufficient positioning accuracy and long calculation time, and achieve the effect of improving positioning accuracy and reducing calculation time overhead

Active Publication Date: 2017-12-08
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

The disadvantage of this method is that the positioning accuracy is not high enough and the calculation time is long

Method used

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  • Multi-point adaptive update method of indoor wlan fingerprint database based on radial basis interpolation
  • Multi-point adaptive update method of indoor wlan fingerprint database based on radial basis interpolation
  • Multi-point adaptive update method of indoor wlan fingerprint database based on radial basis interpolation

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Embodiment Construction

[0050] Combining 1A and Figure 1B Shown, the implementation steps of the present invention are as follows:

[0051] Step 1: Let the distance between adjacent reference points be a, and divide the target physical environment into P update areas on the premise that the reference points are not updated repeatedly, and the reference points in each update area form a square area;

[0052] Step 2: Define the cut-off area as a circular area with the center of each update area as the center and including the surrounding feedback points, then there are P cut-off areas; let the radius of the cut-off area be R, and the number of feedback points in the cut-off area be n, then The surface density of feedback points is Note that the value intervals of the radius R of the cut-off area and the area density ρ of the feedback point are (0, γ) and [p, q] respectively, and randomly select 3000 combined values ​​for the value intervals of R and ρ;

[0053] Step 3: Let (R, ρ) represent a combin...

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Abstract

The invention relates to an indoor WLAN fingerprint database multipoint self-adaptive updating method based on a radial basis interpolation. According to the method, based on the radial basis neural network interpolation, received signal strength (RSS), actually measured, of a few feedback points is used for building a mathematical interpolation model and constructing an RSS estimation curved surface, and RSS estimated values of reference points close to the feedback points are obtained by means of correlation of spatial positions. The RSS values of the multiple reference points can be updated in each time of calculation by using the method, on the premise of not repeatedly updating the reference points, a physical environment is divided into P updating regions, different cut-off region radiuses are adopted in the different updating regions according to the difference of the density and the number of the feedback points in the corresponding cut-off regions where the updating regions are located, the radiuses are obtained by calculating a partial least squares regression model obtained through fingerprint information of an old database, and a whole database can be updated after P times of calculation. The problem that as the fingerprint information of the database changes too much along with time change, positioning accuracy is reduced is solved, time expenditure of database updating is effectively reduced, and the WLAN positioning accuracy is greatly improved.

Description

technical field [0001] The invention belongs to the field of mobile communication, and in particular relates to a method for updating a fingerprint database under an indoor WLAN environment in the field of radio communication. Background technique [0002] In the field of mobile communications, people's demand for location-based services (LBS) is increasing, and the indoor positioning system based on WLAN is a new research hotspot that meets this demand. Currently more popular wireless positioning systems include Global Positioning System (GPS), Cellular Positioning System, Bluetooth Positioning System, Radio Frequency Identification (RFID) Positioning System, ZigBee Positioning System and WLAN Positioning System. Among them, the GPS positioning system is currently the most widely used, and the outdoor positioning accuracy is high. However, in the sheltered or indoor environment with many obstacles, such as urban streets with many tall buildings or indoor parking lots, the s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/04H04W24/02
CPCH04W4/04H04W24/02
Inventor 周牧李双双周非田增山范馨月蒋青王明春吴奇
Owner CHONGQING UNIV OF POSTS & TELECOMM
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