WiFi fingerprint indoor positioning method

An indoor positioning and fingerprint technology, applied in the field of positioning, can solve the problems of not eliminating the interference of irrelevant items, location fingerprint matching error, single location, etc.

Inactive Publication Date: 2017-01-04
QINGDAO HAIER SMART TECH R & D CO LTD
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to solve the nearest neighbor algorithm used in the existing WiFi fingerprint indoor positioning, the present invention uses the fingerprint with the largest similarity between the measured fingerprint and the fingerprint database as the positioning result. The algorithm is rela...

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  • WiFi fingerprint indoor positioning method

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Embodiment 1

[0044]Embodiment 1, this embodiment proposes a WiFi fingerprint indoor positioning method, such as figure 1 shown, including the following steps:

[0045] Offline processing steps, including:

[0046] S11. Delineate the positioning area, and arrange n WiFi transmitting devices in the positioning area, select L sampling points in the positioning area, and calculate the transmission signals of the n WiFi transmitting devices received by each sampling point Intensity RSSI, n RSSI values ​​can be observed at each sampling point (rssi 1 ,rssi 2 ,...,rssi n ), and the n RSSI values ​​are used as the fingerprint of the sampling point, the position coordinates of the sampling point are (x, y), each fingerprint corresponds to the position of the sampling point one by one, and the position fingerprint of the L sampling points is established Library LFDB:

[0047] L F D B = x ...

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Abstract

The invention discloses a WiFi fingerprint indoor positioning method including the following steps of offline processing including (11) defining a positioning area, establishing a location fingerprint database LFDB of L sampling points, (12) performing k-mean clustering on the location fingerprint database LFDB and by taking the European distance as the evaluation criterion of similarity degree, dividing the fingerprint database into fingerprint database with k subclasses KF

; and online positioning including (21) calculating the distance from the actual measurement fingerprint lf=(rssi1, rssi2, ...rssin) to each class center, and writing as DIS=[d1, d2,...dk]; (22) finding the class corresponding to the smallest value in DIS, writing as G<SPECIAL>; (23) calculating the distance between the actual measurement fingerprint lf and each fingerprint in the G<SPECIAL>; (24) selecting the reference fingerprints; (25) calculating the weight coefficient of each reference fingerprint; and (26) calculating the position coordinate of the actual measurement fingerprint. The method clusters the RSSI value acquired in the data offline sampling phase by means of the k-mean algorithm and reduces the computational complexity of the fingerprint matching process; and in the online positioning phase, a dividing method is adopted to reduce the positioning error.

Description

technical field [0001] The invention relates to a positioning method, in particular to a WiFi fingerprint indoor positioning method. Background technique [0002] For the research of indoor positioning system, there are already typical indoor positioning systems such as RADAT system, HORUS system, LANDMARC system and so on. The RADAR indoor positioning system is based on the RSSI (Received Signal Strength Indication) indoor propagation model method. By analyzing the correlation between indoor sampling points and RSSI, the attenuation caused by the wall is introduced, and the attenuation factor is estimated by linear regression for compensation. Indoor propagation loss model. Through this compensation model, calculate the angle between the RSSI receiver and the transmitter, and combine the triangulation positioning algorithm to locate the position of the receiver. [0003] The HORUS wireless positioning system includes a clustering module, a discrete space estimation module...

Claims

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Application Information

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IPC IPC(8): H04W64/00G01S5/02G01S5/14
CPCG01S5/0252G01S5/14H04W64/00
Inventor 刘振宇潘洋陈贵邵景银李玉祥
Owner QINGDAO HAIER SMART TECH R & D CO LTD
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