A Pedestrian Location Correction Method Based on Distance Approximation Discrimination Bluetooth

Abstract

The invention relates to the field of indoor positioning, and discloses a pedestrian positioning correction method based on distance approaching to distinguish Bluetooth, including establishing a Bluetooth node network; performing parameter initialization configuration on pedestrian dead reckoning systems; obtaining the device number of each observable Bluetooth node and signal strength; perform gait recognition according to the accelerometer data; compare the signal strength values ​​of the observable Bluetooth nodes with the signal strength recognition thresholds; obtain the positions of all observable Bluetooth nodes within the vicinity of the mobile terminal according to the device number; Sort the distances from all observable Bluetooth nodes within the vicinity of the mobile terminal to the mobile terminal; judge the proximity of the observable Bluetooth distance; update parameters; perform proximity correction; judge whether to continue positioning. The invention not only overcomes the problems of large correction errors and track jumps in the signal strength threshold method in the prior art, but also improves the PDR correction accuracy and reliability.

Description

technical field [0001] The invention relates to the technical field of indoor positioning, in particular to a pedestrian positioning correction method based on distance approach discrimination Bluetooth. Background technique [0002] At present, in view of the serious cumulative error problem in Pedestrian Dead Reckoning (PDR), many research teams have set up landmark positions in combination with special areas of indoor environments or specific behaviors of users in a certain place to correct the PDR process. The cumulative error problem in . In 2012, Wang et al. proposed UnLoc, which uses WiFi fingerprints at specific locations and sensor data at different locations as landmarks, and UnLoc's landmarks are automatically added to the system; in Shen's 2013 article, indoor elevators, escalators and The corners and other areas that cause special changes in the sensor are used as virtual landmarks, through which the cumulative error in the PDR process is eliminated; in 2015, C...

AI Technical Summary

Problems solved by technology

However, the Bluetooth proximity discrimination method based on signal strength faces the difficulty of selecting the discrimination threshold in Bluetooth proximity discrimination.

When the threshold value is set too high, the correction range is reduced, and the possibility of users entering the correction area is reduced. There is a problem that the correction point is not recognized and the correction is missed.

When the threshold is set too low, the correction range is enlarged, and there are problems such as premature correction of the user position, large correction errors, obvious jumps of the user trajectory during correction, and stagnation of the user trajectory within a large correction range.

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