Indoor positioning method based on distributed AP selection strategy

A technology for selecting strategies and indoor positioning, applied in electrical components, wireless communication, network planning, etc., and can solve problems such as incorrect positioning, weak positioning ability, and poor positioning ability.

Active Publication Date: 2015-11-25
CHANGSHU INSTITUTE OF TECHNOLOGY
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AI Technical Summary

Problems solved by technology

In practice, it is found that this AP selection method is incorrect. For example, the signal strength of an AP is relatively large everywhere in the positioning area, but its fluctuation is small. Although the average signal strength of this AP is large, its positioning ability is weak....

Method used

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  • Indoor positioning method based on distributed AP selection strategy
  • Indoor positioning method based on distributed AP selection strategy
  • Indoor positioning method based on distributed AP selection strategy

Examples

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Embodiment

[0056] like figure 1 As shown, an indoor positioning method based on a distributed AP selection strategy includes the following steps:

[0057] S01: Arrange D AP nodes in the indoor environment to ensure that any point in the indoor environment is covered by signals from three or more AP nodes, and at the same time divide the target area into N small areas, with the center of the small area as Signal strength collection points, a total of N reference points, used to collect sample data in the offline phase;

[0058] S02: Establish a two-dimensional rectangular coordinate system for the target area, obtain the coordinate positions of N reference points, and use the mobile device to collect the signal strength of the AP node for k times at each reference point, and process the data;

[0059] S03: Divide the target area into m sub-areas by means of an equal area, classify the fingerprint information of different sub-areas, use the fingerprint information database to train the su...

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Abstract

The invention discloses an indoor positioning method based on a distributed AP selection strategy. The method comprises the following steps of using mobile equipment to collect k times of signal intensities of AP nodes on each reference point and processing data; equally dividing a target area into m subareas, classifying fingerprint information of the different subareas, using a fingerprint information base to train a subarea module and selecting the corresponding subarea according to RSS fingerprint information; calculating a correlation of each AP node and each subarea, sorting correlation coefficients, selecting the AP node whose correlation coefficient is greater than Ptau as a positioning node of the subarea; in each subarea, taking the selected positioning node as input of a DBN model and a corresponding position point as output of the DBN model, training the DBN model and constructing a positioning prediction model. By using the method, big noise and the AP node with a weak position distinguishing capability can be effectively removed; positioning precision of an overall WIFI indoor positioning system is increased and algorithm operation time is shortened.

Description

technical field [0001] The invention relates to an indoor positioning method, in particular to a WIFI indoor positioning method based on a distributed AP selection strategy. Background technique [0002] Indoor positioning is a technology used to obtain the location information of indoor target objects, and has broad application prospects in civilian and military fields. Common positioning algorithms are mainly based on Received Signal Strength Indication (RSSI), Time of Arrival (TOA), Time Difference of Arrival (TDOA), Angle of Arrival (AOA) and other technologies. Among them, the positioning algorithm based on RSSI has the advantages of low power consumption, low cost and easy implementation, and is widely used in wireless indoor positioning. [0003] The positioning algorithm using RSSI is generally divided into: a positioning algorithm based on a signal propagation model and a positioning algorithm based on a fingerprint model. The traditional location algorithm based ...

Claims

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Application Information

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IPC IPC(8): H04W64/00H04W16/20
CPCH04W16/20H04W64/003H04W64/006
Inventor 葛柳飞李克清戴欢沈韬
Owner CHANGSHU INSTITUTE OF TECHNOLOGY
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