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Fingerprint information positioning method based on small amount of wireless signal intensity

A technology of wireless signal strength and fingerprint information, used in wireless communication, services based on specific environments, positioning, etc., can solve the problems of high result volatility, limited labor and time costs, and large impact on construction accuracy, and achieve average positioning. The effect of reducing errors, ensuring prediction accuracy, and low sampling overhead

Active Publication Date: 2021-10-29
JIANGNAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used prediction methods include spatial interpolation and matrix filling. As a typical spatial interpolation method, the Inverse Distance Weighted (IDW) algorithm is logically simple, and the position weight is only negatively correlated with the physical distance. The prediction is inaccurate; while the Kriging algorithm needs to fit the scene-related variation function before the prediction, which brings the defects of complex calculation and high volatility of the result
In order to balance the computational complexity, Le Yanfen used universal Kriging interpolation method to preprocess the location fingerprint, but the reduced labor and time costs are limited, and the construction accuracy is greatly affected by the variation function

Method used

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  • Fingerprint information positioning method based on small amount of wireless signal intensity
  • Fingerprint information positioning method based on small amount of wireless signal intensity
  • Fingerprint information positioning method based on small amount of wireless signal intensity

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Embodiment 1

[0052] A method for locating fingerprint information based on a small amount of wireless signal strength according to this embodiment includes the following steps:

[0053] Step 1. Construct the system model, and adopt the improved Latin hypercube sampling method to construct sampling samples in the positioning scene by using the dual beacon mechanism, and select a certain proportion of primary beacon points and secondary beacon points;

[0054] Step 2, collect the received signal strength of the main beacon point, the fingerprint information of the main beacon point is composed of the received signal strength and the position coordinates of the main beacon point;

[0055] Step 3, using the inverse distance weighting method to perform interpolation to obtain the received signal strength of the secondary beacon point, and the obtained received signal strength and the position coordinates of the secondary beacon point form the fingerprint information of the secondary beacon point...

Embodiment 2

[0082] In order to evaluate the performance of the positioning method of the present invention, the experimental environment is a certain classroom. Experimental scene such as image 3 As shown, the total area of ​​the positioning area is 9m×7m, and the distance between fingerprint points is d 0 =1m, the total number of fingerprint points is N=80, and the room contains 1=12 iBeacon bluetooth nodes as wireless access points (APs), which are marked as APs 1 , AP 2 ,...,AP 12 . In order to analyze the error between the location fingerprint library established by the present invention and the actual fingerprint library, the present invention first adopts the full sampling method to construct the location fingerprint library, and selects the Android mobile phone as the collection terminal to perform the received signal strength (RSS) value of all beacon points in the positioning area. collection. At the same time, considering the time-varying nature of RSS data, in order to en...

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Abstract

The invention discloses a fingerprint information positioning method based on a small amount of wireless signal intensity, and the method employs a double-beacon mechanism, employs an improved Latin hypercube sampling method to determine the positions of a primary beacon point and a secondary beacon point in a certain proportion, collects the signal intensity of the primary beacon point as the fingerprint information, and estimating the signal intensity of the secondary beacon point by using an inverse distance weighting method, and performing interpolation by using a radial basis function neural network model (RBF model) to complete the expansion of the fingerprint database. According to the fingerprint information positioning method based on the small amount of wireless signal intensity, the lowest sampling overhead is obtained on the premise of ensuring the accuracy; according to the method, a radial basis function neural network interpolation model is adopted for fingerprint database expansion, the fingerprint database is expanded by 140% through an actual measurement scene test on the premise that the positioning accuracy is guaranteed, and through experimental verification, the average positioning error is reduced by 12% or above compared with an existing method.

Description

technical field [0001] The invention relates to a fingerprint information positioning method based on a small amount of wireless signal strength, and belongs to the technical field of indoor positioning. Background technique [0002] With the advancement of communication technology, research on indoor location-based services has developed rapidly. Affected by GPS working limitations and firmware configuration constraints, the fingerprint positioning method based on signal energy has become an important direction of indoor positioning technology research. The fingerprint positioning method avoids the difference of signal carriers and the distribution of interference sources, but the positioning accuracy is inevitably affected by the speed and efficiency of offline fingerprint database construction. [0003] There are various ways to construct the fingerprint library for indoor positioning, such as full sampling, crowdsourcing and prediction. The full sampling method is to p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W64/00H04W4/33G01S5/02G06N3/04
CPCH04W64/006H04W4/33G01S5/0252G06N3/045
Inventor 秦宁宁吴忆松
Owner JIANGNAN UNIV