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WLAN indoor positioning method based on sample capacity optimization and variance analysis

A technique of sample size and variance analysis, applied to services based on location information, services based on specific environments, measurement devices, etc., can solve problems such as unreliability

Inactive Publication Date: 2018-09-04
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

It can effectively solve the blindness and unreliability of fingerprint data collection and the influence of RSS sample fluctuation on positioning performance

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  • WLAN indoor positioning method based on sample capacity optimization and variance analysis
  • WLAN indoor positioning method based on sample capacity optimization and variance analysis
  • WLAN indoor positioning method based on sample capacity optimization and variance analysis

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Embodiment Construction

[0037] specific implementation plan

[0038] Further describe the technical scheme of the present invention in detail below in conjunction with accompanying drawing:

[0039] Such as figure 1 A WLAN indoor positioning method based on sample size optimization and variance analysis is shown, which specifically includes the following steps:

[0040] Step 1. The system uniformly marks several reference points in the target environment, and it is assumed that m RSS samples RSS are collected at each reference point j ={rss j1 ,...,rss jm}, where rss jv =(rss jv1 ,...,rss jvs ), rss jvi (1≤i≤s)(1≤j≤n) is the sample value from the i-th WLAN access point AP in the v-th sample vector in the j-th RSS sample sequence, assuming that the j-th WLAN access point AP from the i-th AP The sample value rss of the RSS sample sequence j1i ,rss j2i ,...,rss j1i Independent of each other and subject to normal distribution, the ideal mean, overall mean, overall variance and sample mean are ...

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Abstract

The invention discloses a WLAN indoor positioning method based on sample capacity optimization and variance analysis. The method comprises the steps of firstly during an offline stage, based on analysis on RSS sample characteristics, using an OC function to optimize a fingerprint database to construct an allowable minimum RSS sample; then, selecting an optimal AP (access point) for constructing the fingerprint database via an AP selection method based on information gain; and at last, roughly positioning a target terminal via a statistical hypothesis variance analysis method by using the affect of the RSS sample mean and sample capacity on similarity between samples during on online stage, and thus providing a KNN algorithm based on variance analysis to finely position the target terminal.According to the method provided by the invention, the problem of influence of the blindness and unreliability of fingerprint data collection and the fluctuation of the RSS sample on the positioningperformance is solved. Experimental results show that by using the method, the relatively stable positioning result is acquired with the limited sample capacity, and the labor and time overheads are significantly reduced.

Description

technical field [0001] The invention belongs to indoor positioning technology, in particular to a WLAN indoor positioning method based on sample size optimization and variance analysis. Background technique [0002] With the rapid development of the information industry, the industry scale in the field of mobile Internet has grown exponentially. People enjoy the great convenience brought by the communication network to social production and life, which has led to an increasing demand for location-based services (Location Based Service, LBS). Researchers have studied many indoor positioning technologies, such as ultrasonic (Ultrasonic Wave, UW), infrared (Infrared Ray, IR), ultra-wideband (Ultra-wideband, UWB), radio frequency identification (Radio Frequency Identification, RFID) and wireless local area network ( Wireless Local Area Network, WLAN) and other technologies for indoor positioning systems. Compared with the disadvantages of using IR, RFID, UWB and other special ...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/33H04W64/00G01S11/06
CPCH04W4/023G01S11/06H04W4/33H04W64/006
Inventor 周牧卫亚聪蒲巧林聂伟谢良波田增山
Owner CHONGQING UNIV OF POSTS & TELECOMM
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