Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems

Aguilera, Teodoro; Aranda, Fernando J.; Parralejo, Felipe; Gutiérrez, Juan Diego; Moreno, José A.; Álvarez, F.

doi:10.3390/s21051703

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…However, the actual application is greatly affected by environmental noise because of lacking an acoustic base. In the article [32], a chirp signal increasing linearly in frequency is used to code the one. Chirp signal decreasing linearly is used to code the zero.…”

Section: Introductionmentioning

confidence: 99%

Acoustic TDOA Measurement and Accurate Indoor Positioning for Smartphone

Cheng

2023

Future Internet

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The global satellite navigation signal works well in open areas outdoors. However, due to its weakness, it is challenging to position continuously and reliably indoors. In this paper, we developed a hybrid system that combines radio signals and acoustic signals to achieve decimeter-level positioning indoors. Specifically, acoustic transmitters are synchronized with different codes. At the same time, our decoding scheme only requires a simple cross-correlation operation without time-frequency analysis. Secondly, acoustic signals will be reflected by glass, walls and other obstacles in the indoor environment. Time difference of arrival (TDOA) measurement accuracy is seriously affected. We developed a robust first path detection algorithm to obtain reliable TDOA measurement values. Finally, we combine the maximum likelihood (ML) algorithm with the proposed TDOA measurement method to obtain the location of the smartphone. We carried out static positioning experiments for smartphones in two scenes. The experimental results show that the average positioning error of the system is less than 0.5 m. Our system has the following advantages: (1) smartphone access. (2) an unlimited number of users. (3) easily deployed acoustic nodes. (4) decimeter-level positioning accuracy.

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Section: Introductionmentioning

confidence: 99%

Acoustic TDOA Measurement and Accurate Indoor Positioning for Smartphone

Cheng

2023

Future Internet

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Robust Indoor Positioning with Smartphone by Utilizing Encoded Chirp Acoustic Signal

Cheng,

Huang,

Zou

2024

Sensors

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Recently, indoor positioning has been one of the hot topics in the field of navigation and positioning. Among different solutions on indoor positioning, positioning with acoustic signals has its promise due to its relatively high accuracy in the line of sight scenarios, low cost, and ease of being implemented in smartphones. In this work, a novel acoustic positioning method, called RATBILS, is proposed, in which encoded chirp acoustic signals are modulated and transmitted by different acoustic base stations. The smartphones receive the signals and perform the following three steps: (1) preprocessing; (2) time of arrival (TOA) estimation; and (3) time difference of arrival (TDOA) calculation and location estimation. In the preprocessing stage, we use band pass filters to filter out low-frequency noise from the environment. At the same time, we perform a signal decoding function in order to lock onto the positioning source. In the TOA estimation stage, we conduct both coarse and fine detection to enhance the accuracy and robustness of TOA estimation. The primary goal of coarse detection is to establish a noise range for fine detection. The main objective of fine detection is to emphasize the intensity of the first arrival diameter and resistance with multipath and non-line-of-sight (NLOS) caused by human body obstruction. In the TDOA calculation and location estimation stage, we estimate the TDOA based on the TOA estimation and then use the TDOA results for position estimation. In order to evaluate the performance of the proposed RATBILS system, two indoor field tests are carried out. The test results show that the RATBILS system achieves a positioning error of 0.23 m at 92% in region 1 of scene 1 and is superior to the traditional threshold method. The RATBILS system achieves a positioning error of 0.56 m at 92% in region 2 of scene 1 and is superior to the traditional threshold method. In scene 2, the maximum average positioning error was 1.26 m, which is better than the 3.33 m and 3.87 m of the two traditional threshold methods.

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Noise-Resilient Acoustic Low Energy Beacon for Proximity-Based Indoor Positioning Systems

Cited by 2 publications

References 47 publications

Acoustic TDOA Measurement and Accurate Indoor Positioning for Smartphone

Acoustic TDOA Measurement and Accurate Indoor Positioning for Smartphone

Robust Indoor Positioning with Smartphone by Utilizing Encoded Chirp Acoustic Signal

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