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Crowdsourcing fingerprint database construction method based on map information screening and matching

A technology of map information and construction method, which is applied in the field of mobile communication and indoor positioning, and can solve the problems that cannot be used to construct radio maps, large cumulative errors, and error accumulation characteristics

Active Publication Date: 2020-08-18
XI AN JIAOTONG UNIV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing technology considers using the PDR method to construct a radio map, but the disadvantage of the PDR technology mainly lies in the cumulative characteristics of the error, the effect is poor when used alone, and the precise initial position needs to be known during positioning, which is relatively difficult to obtain in practice
Without knowing this information, the sampling position of the PDR trajectory is only a relative position rather than an absolute position, which cannot be used to construct a radio map; PDR technology can infer the position of each step during continuous walking, but requires a known starting point and The cumulative error of the time-lapse position is large, and the fingerprint database cannot be accurately constructed

Method used

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  • Crowdsourcing fingerprint database construction method based on map information screening and matching
  • Crowdsourcing fingerprint database construction method based on map information screening and matching
  • Crowdsourcing fingerprint database construction method based on map information screening and matching

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Embodiment

[0149] see Figure 4 , is a typical shopping mall with an environmental area of ​​35.2m×106.2m, and the signal acquisition terminal is an Android smart phone. The specific operation process is as follows:

[0150] 1) Collect sensor data

[0151] At any position on the road, several paths are pre-planned to ensure that all passable sections of the shopping mall are covered. The length of the path varies from 118m to 236m. On these paths, walk at a uniform pace, and the mobile phone continuously collects the sensor data during this process and the corresponding received signal strength samples Rssi of each AP 1 ,Rssi 2 ,...,Rssi n , where n is the number of samples. Repeat walking dozens of times, choose part of the path as offline training data, and the other part as online test data;

[0152] 2) The pedestrian dead reckoning algorithm (PDR algorithm) is used to detect the number of steps on the sensor data collected in step 1), and the gyroscope data is processed by means...

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Abstract

The invention discloses a crowdsourcing fingerprint database construction method based on map information screening and matching, comprising the following steps: speculating pedestrian motion information by using an inertial sensor in a smart phone, uniquely determining a trajectory starting point through two-layer screening in combination with the limitation of map obstacles, and matching the position of each step of a path through particle filtering. And in combination with RSS data collected in the walking process, an offline fingerprint library is rapidly and accurately constructed, and online positioning is assisted. According to the method, the fingerprint database can be constructed more quickly and densely, and the positioning precision is higher.

Description

technical field [0001] The invention belongs to the technical fields of mobile communication and indoor positioning, and in particular relates to a crowdsourcing fingerprint library construction method based on map information screening and matching. Background technique [0002] With the rapid development of wireless communication technology and the increasing use of mobile terminals, considering the reality of technology maturity and large-scale application, Wireless Local Area Networks (WLAN) has become the current mainstream and the most developed in the future. One of the potential indoor positioning methods. [0003] The positioning technology based on location fingerprint does not need to know the propagation parameters and location coordinates of the wireless access point (AccessPoint, AP) in the collection environment in advance, but performs location matching by establishing a feature library. Due to the complexity of Received Signal Strength (RSS) values ​​indoor...

Claims

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Application Information

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IPC IPC(8): H04W4/02H04W4/021H04W4/33H04W64/00H04B17/318G06F16/29
CPCH04W4/021H04W4/023H04W4/025H04W4/33H04W64/00H04B17/318G06F16/29
Inventor 廖学文钱莉萍高贞贞贾扬帅杜小倩
Owner XI AN JIAOTONG UNIV
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