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Dynamic fuzzy matching indoor positioning method for overcoming equipment difference

A dynamic fuzzy and indoor positioning technology, applied in character and pattern recognition, service based on location information, service based on specific environment, etc., can solve the problems of lower subspace matching accuracy rate and inability to guarantee local matching accuracy rate, etc.

Active Publication Date: 2020-10-09
JIANGNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The subspace matching method based on PCA can effectively improve the positioning efficiency, but it cannot guarantee the accuracy of local matching, especially when the interference factors such as obstacles and traffic in the indoor space increase, it will seriously reduce the accuracy of subspace matching. It can be seen that the general subspace matching method is difficult to adapt to the fluctuation of environmental factors and make dynamic adjustments

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  • Dynamic fuzzy matching indoor positioning method for overcoming equipment difference
  • Dynamic fuzzy matching indoor positioning method for overcoming equipment difference
  • Dynamic fuzzy matching indoor positioning method for overcoming equipment difference

Examples

Experimental program
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Embodiment Construction

[0087] This embodiment provides a positioning application in a classroom of a dynamic fuzzy matching indoor positioning method that overcomes device differences.

[0088] In order to evaluate the performance of the method, the classroom is used as the real test site, and the top view of the site is a rectangle of 11.5m×8.5m. Figure 4 (a) Give the environmental layout of the site and the location of the AP signal source and the layout plan of the fingerprint points. In the scene, Bluetooth Low Energy nodes (Bluetooth Low Energy, BLE) are arranged as APs (N=4), and the positions are random. The fingerprint information adopts the way of grid points, and the rectangular positioning area is evenly divided into a grid of 0.5m×0.5m, and the center point of the grid is taken as the position of the fingerprint point FP, and a total of K=160 fingerprint points are generated. In order to ensure both uniformity and randomness of test point data, the selection of test points is based on ...

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Abstract

The invention discloses a dynamic fuzzy matching indoor positioning method for overcoming equipment difference, and belongs to the field of indoor positioning. The dynamic fuzzy matching indoor positioning method comprises the following steps of: 1, constructing a system model which comprises a network space model, a sub-fingerprint library clustering model and a similarity model; 2, extracting probability features of fingerprints; 3, adopting a fuzzy matching method and acquiring a local fingerprint library through matching; and 4, calculating the position to obtain an estimated position of atest point. The dynamic fuzzy matching indoor positioning method has the advantages that: as a dynamic local fingerprint database matching method, the FMKNN balances gain win-win between matching precision and calculation complexity through utilizing an adjustable subspace matching threshold; a weight adjustment parameter is introduced to perform position estimation in combination with a multi-dimensional similarity coefficient, the structure of a neighbor point set is optimized, and the effect of neighbor points is highlighted; and positioning errors caused by difference of receiving end equipment is weakened, and the positioning precision is improved.

Description

technical field [0001] The invention belongs to the field of indoor positioning, and relates to a dynamic fuzzy matching indoor positioning method which overcomes equipment differences, and is widely used in shopping mall navigation, elderly monitoring and other fields. Background technique [0002] At present, most indoor positioning methods use the relevant characteristics of wireless signals for positioning. Commonly used technologies include WiFi, radio frequency identification (RFID), ultra-wideband (UWB) and Bluetooth. The complexity of the indoor environment makes it easy to cause multipath effects when wireless signals propagate, and it is difficult to give an accurate mathematical model for signal transformation in different scenarios. Since the fingerprint matching method focuses on the fingerprint characteristics of received signal strength (RSS), rather than traversing all signals, the location of the test point can be obtained by matching the RSS distribution of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/02H04W4/021H04W4/33H04W64/00G01C21/20G06K9/62
CPCH04W4/021H04W4/023H04W4/33H04W64/00G01C21/206G06F18/23213
Inventor 秦宁宁吴忆松
Owner JIANGNAN UNIV