@article{ref1,
title="Indoor pedestrian self-positioning based on image acoustic source impulse using a sensor-rich smartphone",
journal="Sensors (Basel)",
year="2018",
author="Song, Xiyu and Wang, Mei and Qiu, Hongbing and Luo, Liyan",
volume="18",
number="12",
pages="s18124143-s18124143",
abstract="The ubiquity of sensor-rich smartphones provides opportunities for a low-cost method to track indoor pedestrians. In this situation, pedestrian dead reckoning (PDR) is a widely used technology; however, its cumulative error seriously affects its accuracy. This paper presents a method of combining infrastructure-free indoor acoustic self-positioning with PDR self-positioning, which verifies the rationality of PDR results through the acoustic constraint between a sound source and its image sources. We further determine the first-order echo delay measurements, thus obtaining the mobile user position. We verify that the proposed method can achieve a continuous self-positioning median error of 0.19 m, and the error probability below 0.12 m is 54.46%, which indicates its ability to eliminate PDR error, as well as its adaptability to environmental disturbances.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s18124143",
url="http://dx.doi.org/10.3390/s18124143"
}