Indoor positioning optimization method based on location fingerprint algorithm

An indoor positioning and fingerprint algorithm technology, applied in the direction of location information-based services, positioning, measuring devices, etc., can solve the problems of positioning errors without special processing, high matching processing time complexity, and insufficient fingerprint collection accuracy, etc., to achieve The effect of improved fingerprint collection accuracy, reduced time complexity, and high fingerprint accuracy
CN107948930AActive Publication Date: 2018-04-20UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
UNIV OF ELECTRONICS SCI & TECH OF CHINA
Publication Date
2018-04-20

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Abstract

The invention discloses an indoor positioning optimization method based on a location fingerprint algorithm. According to the indoor positioning optimization method disclosed by the invention, on thebasis of the existing location fingerprint positioning method, corresponding optimization processing is performed on signal intensity collection, fingerprint database density, fingerprint database accuracy, positioning efficiency and device error, thereby realizing the improvement of accuracy and efficiency of the positioning process. In the positioning process of the indoor positioning optimization method disclosed by the invention, no additional hardware support is needed, therefore the positioning cost is relatively low. The present invention can provide higher positioning accuracy under the condition that the signal strength is measured accurately and the accuracy and the density of the a location fingerprint library are high.
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Description

[0001] technology neighborhood

[0002] The invention belongs to the technical field of indoor positioning, and in particular relates to an indoor positioning method based on a location fingerprint algorithm. Background technique

[0003] The fingerprint positioning algorithm completes positioning through the correlation between RSSI (Received Signal Strength Indication, received signal strength indication) information, and realizes the estimation of positioning coordinates by matching the RSSI information at the positioning point with the RSSI information of the location fingerprint. The positioning principle of the fingerprint positioning algorithm is as follows: figure 1 As shown, the positioning process is divided into two stages: 1. Offline training stage: select n points in the area as reference points for location fingerprint collection, so as to complete the construction of the location fingerprint library. Composition of position coordinates and RSSI information; 2. ...

Claims

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