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WLAN fingerprint secondary scanning positioning method based on signal propagation model

A signal propagation and secondary scanning technology, applied in the field of positioning, can solve problems such as standard deviation, high cost, and limited practicability, and achieve the effect of improving positioning accuracy and scalability

Active Publication Date: 2017-07-21
HOHAI UNIV CHANGZHOU
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  • Application Information

AI Technical Summary

Problems solved by technology

3) WLAN fingerprint positioning: the advantages are high precision and strong scalability, but the technical defect is that the required cost is high, resulting in limited practicability
[0021] s: Shadow Fading standard deviation, usually between 3–7dB indoors

Method used

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  • WLAN fingerprint secondary scanning positioning method based on signal propagation model

Examples

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Embodiment 1

[0090] Step 1: Use the drone to traverse all the rooms on the floor. The drone is equipped with WLAN, autonomous avoidance, and autonomous pathfinding functions, and can record the coordinates of the moving path. The UAV moves randomly after entering the room, collects the RSS values ​​from each signal source at intervals during the movement and records the relative coordinates, which are the reference points.

[0091] Step 2: Locate the relative coordinates of the signal source; during the movement process, the coordinates of the reference point with the largest RSS value of the signal source can be selected as the coordinates of the signal source.

[0092] Step 3: After the traversal, send the coordinates of the reference point and the corresponding RSS sampling values ​​to the positioning server; the positioning server uses the data to generate the RSS fingerprint database and the environmental fingerprint database.

[0093] Among them, the example of RSS fingerprint databa...

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Abstract

The invention discloses a WLAN fingerprint secondary scanning positioning method based on a signal propagation model. Two fingerprint databases which are an RSS fingerprint database and an environment fingerprint database are generated in the offline stage of fingerprint positioning. The RSS fingerprint database includes all the signal source RSS information which can be perceived by reference points. The environment fingerprint database includes the path loss exponent of the reference points and all the signal sources and distance information to the signal sources. Secondary scanning is performed by using the two databases in the online stage. The RSS fingerprint database is used in the first time of scanning so that a certain number of candidate reference points which are similar to the unknown point and close in geographical coordinates are selected. The environment fingerprint database is used in the second time of scanning. The reference distance to the signal sources is calculated by the path loss exponent of the unknown point RSS and the candidate reference points, and then the reference distance is compared with the actual distance of the candidate reference points so as to select the most similar reference points and position the coordinates. The invention discloses a novel indoor fingerprint positioning method. According to the method, fingerprint matching with the signal propagation distance is performed by using the path loss exponent of the signal propagation model through combination with the RSS fingerprint positioning method so as to enhance the positioning accuracy.

Description

technical field [0001] The invention relates to a positioning method, in particular to a WLAN fingerprint secondary scanning positioning method based on a signal propagation model. Background technique [0002] Traditional indoor positioning technologies mainly include the following types: [0003] 1) Base station positioning: First, calculate the signal propagation distance between the target and most surrounding base stations; then, calculate the positioning target with geometry such as trilateration. The core of this positioning technology lies in the calculation of signal propagation distance. In a large indoor environment, due to the influence of irregular signal propagation factors such as obstacles and reflections, the calculation of the signal propagation distance has a large deviation, resulting in a decrease in positioning accuracy. Positioning accuracy increases with the number of surrounding base stations. [0004] 2) WLAN positioning: The positioning method i...

Claims

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Application Information

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IPC IPC(8): G01S5/02
Inventor 张杰钱玉洁孙宁韩光洁
Owner HOHAI UNIV CHANGZHOU
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