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Weighted Naive Bayesian Indoor Localization Method Based on Attribute Independence

An indoor positioning and Bayesian technology, applied in location information-based services, specific environment-based services, wireless communications, etc., can solve problems such as complex fingerprint database, high complexity, ignoring the correlation of eigenvalues, etc., and achieve fingerprint Effects of library compaction

Active Publication Date: 2020-11-10
HARBIN ENG UNIV
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Problems solved by technology

[0005] Existing positioning systems based on fingerprint databases usually use support vector machines, K-nearest neighbors and other classification methods to complete positioning. These methods have the characteristics of high complexity and complicated fingerprint databases.
Some positioning systems also use Bayesian classifiers, but ignore the correlation between feature values, resulting in low accuracy

Method used

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  • Weighted Naive Bayesian Indoor Localization Method Based on Attribute Independence
  • Weighted Naive Bayesian Indoor Localization Method Based on Attribute Independence
  • Weighted Naive Bayesian Indoor Localization Method Based on Attribute Independence

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Embodiment Construction

[0053] The present invention will be further described below in conjunction with the accompanying drawings.

[0054] 1. Establish the CSI sample set of the location point: Assume that there are m transmitting antennas (TX) and n receiving antennas (RX) in the system, so m*n sending and receiving links are formed, and each sending and receiving link contains 30 subcarriers, then each CSI packet contains m*n*30 CSI complex values. In the present invention, it is set that the number of transmitting antennas is 1, the number of receiving antennas is 3, and the CSI data is a complex matrix of 1*3*30.

[0055] 2. CSI data preprocessing: the present invention first utilizes the Raida criterion to process the original CSI data set of each location, thereby eliminating data that is mutated due to noise and other reasons. First, you need to find the standard deviation of each feature value, and then compare the difference between each data and the mean of the same feature. If the diffe...

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Abstract

The invention discloses a weighted naive Bayes indoor positioning method based on attribute independence, and belongs to the technical field of indoor positioning, and the method comprises the following steps: building a CSI sample set of a position point; performing CSI data preprocessing; extracting main features through a PCA algorithm; establishing an offline fingerprint database; in the online stage, using a weighted naive Bayes positioning algorithm with independent attributes; in the offline stage, through multiple times of sampling analysis, knowing that CSI amplitude values of any position obey normal distribution, and therefore the mean value and the variance of the amplitude values of all the positions serve as fingerprints to be stored. In the online stage, the variance contribution rate calculated in the principal component analysis stage is used as a weight to be applied to naive Bayes classification, and the advantages of principal component analysis are maximized. According to the method, only the mean value and the variance of the CSI amplitude values measured by each reference point for multiple times need to be selected as fingerprints, the data is processed by using the principal component analysis method, the conditional independence assumption of the naive Bayes classifier is met, and the positioning precision is improved.

Description

technical field [0001] The invention belongs to the technical field of indoor positioning, and in particular relates to an attribute-independent weighted naive Bayesian indoor positioning method. Background technique [0002] In recent years, with the increasing demand for location-based services and applications, localization in indoor environments has attracted extensive attention from researchers. If using information sources like video, magnetometer, magnetic resonance coupling, there will be problems of high system cost and installation effort. Solutions based on radio frequency (RF) can circumvent the above-mentioned disadvantages. Because with the popularity of wireless networks, radio frequency information is a ubiquitous available resource, reducing installation costs. Many traditional positioning systems based on radio frequency signals carry out precise indoor positioning by allowing the person to be located to carry some special equipment. These devices are tra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W4/02H04W4/33H04W64/00
CPCH04W4/025H04W4/33H04W64/00
Inventor 苘大鹏杨武王巍玄世昌吕继光梁冰
Owner HARBIN ENG UNIV
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