Citation

Song X, Wang M, Qiu H, Luo L. Sensors (Basel) 2018; 18(12): s18124143.

Affiliation

Wireless Broadband and Signal Processing Guangxi Key Laboratory, Guilin University of Electronic Technology, Guilin 541004, China. xiaoyan12027@gmail.com.

Copyright

(Copyright © 2018, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s18124143

PMID

30486301

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.

Language: en

Keywords

acoustic image model; indoor acoustic localization; motion dynamics information; pedestrian dead reckoning; smartphone-based self-positioning