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Bayes Regression-based Radio Map correction method in WiFi (wireless fidelity) indoor location

A technology for indoor positioning and calibration methods, applied in advanced technology, electrical components, climate sustainability, etc., which can solve problems such as being less practical and taking a long time off-line

Active Publication Date: 2014-06-18
NANJING RONGZHONG ENVIRONMENTAL ENG RES INST CO LTD
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AI Technical Summary

Problems solved by technology

Also the offline phase is time consuming and not very practical for large buildings and dynamic environments, as the offline location survey training needs to be repeated from time to time

Method used

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  • Bayes Regression-based Radio Map correction method in WiFi (wireless fidelity) indoor location
  • Bayes Regression-based Radio Map correction method in WiFi (wireless fidelity) indoor location
  • Bayes Regression-based Radio Map correction method in WiFi (wireless fidelity) indoor location

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Embodiment Construction

[0047] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0048] figure 1 It is a schematic diagram of the online dynamic correction RadioMap based on the Bayesian regression algorithm. The online dynamic calibration Radio Map method is suitable for indoor positioning systems with WiFi network coverage. The Bayesian regression algorithm is used to perform online dynamic calibration of RadioMap, and the standard deviation is used to provide users with accurate information services on positioning errors.

[0049] The operations performed in the positioning process include: power fingerprint calculation, mode classification, positioning, current power mode calculation, noise filtering, AP RSS prediction, RadioMap construction, and RadioMap online dynamic correction.

[0050] Power Fingerprint Calculation

[0051] The WiFi device sends the power fingerprint to the positioning server by means of a Web servic...

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Abstract

The invention discloses a Bayes Regression-based Radio Map correction method in WiFi (wireless fidelity) indoor location. The method comprises the following steps of A, performing a location request: WiFi equipment sends a location request, searches a power fingerprint and sends to a location server; B, performing position estimation: the location server compares the current power fingerprint with the power stored in the Radio Map, and gives the current WiFi power fingerprint value to predict the position of the current node; C, performing precision adjustment: performing online dynamic correction on the Radio Map by using a Bayes Regression algorithm, reducing a power standard value to the precision of the meter level by Gaussian process regression and iteration and converting to the standard difference of the position error; D, performing location reply: the location server sends the standard difference of the prediction position and the position error to a location requesting party by a WiFi network. According to the method, the hardware investment and location delay are reduced, and a more reliable prediction result is provided for the location object.

Description

technical field [0001] The invention relates to an indoor positioning method, in particular to a Bayesian regression-based RadioMap (radio frequency map, also called radio sky map) correction method in WiFi indoor positioning. Background technique [0002] At present, there are many mobile applications such as unmanned autonomous vehicles and mobile robots, search and rescue, and item tracking, etc., which use location information to provide contextual services. [0003] Outdoor positioning can use GPS (Global Positioning System, Global Positioning System), but for indoor positioning, because building materials will cause signal attenuation, and GPS requires very precise synchronization between the reference position and moving objects, so this method is not suitable for indoors position. [0004] There are three main types of wireless positioning technologies: time-based, angle-based and signal power-based. In the time-based positioning technology, the range is estimated ...

Claims

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Application Information

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IPC IPC(8): H04W24/06H04W64/00
CPCY02D30/70
Inventor 谈玲夏景明
Owner NANJING RONGZHONG ENVIRONMENTAL ENG RES INST CO LTD
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