|
Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
ALiSA: A Visible-Light Positioning System Using the Ambient Light Sensor Assembly in a Smartphone
| Title: | ALiSA: A Visible-Light Positioning System Using the Ambient Light Sensor Assembly in a Smartphone |
| Authors: | Sato, Takuto Browse this author | | Shimada, Shota Browse this author | | Murakami, Hiroaki Browse this author | | Watanabe, Hiroki Browse this author →KAKEN DB | | Hashizume, Hiromichi Browse this author | | Sugimoto, Masanori Browse this author →KAKEN DB |
| Keywords: | Light emitting diodes | | Sensors | | Frequency modulation | | Time-frequency analysis | | Location awareness | | Frequency response | | Nonuniform sampling | | Indoor localization | | visible light positioning (VLP) | | ambient light sensor (ALS) | | received signal strength (RSS) | | smartphone |
| Issue Date: | 15-Mar-2022 |
| Publisher: | IEEE (Institute of Electrical and Electronics Engineers) |
| Journal Title: | IEEE sensors journal |
| Volume: | 22 |
| Issue: | 6 |
| Start Page: | 4989 |
| End Page: | 5000 |
| Publisher DOI: | 10.1109/JSEN.2021.3074580 |
| Abstract: | In this paper, we describe a visible-light positioning system that uses the ambient-light sensor assembly in a smartphone as a receiver for illumination signals from LED-based room lighting. After correcting for missing or inconsistently sampled data captured by the receiver, we can identify the source LEDs contributing to the received signal via Fourier analysis of its frequency distribution. Localization of the smartphone is then achieved by trilateration of the distances to the various LEDs, which are calculated from the received signal strength for each LED. Experiments using multiple LEDs were conducted to evaluate the signal reception and positioning performance of the system. We found that multiple LEDs modulated at frequencies of over 70 Hz could be correctly identified from the received signal pattern. The 90th-percentile 2D positioning errors using low frequency signals (3.951-7.902 Hz) were less than 0.21 meter for a room illuminated by four LEDs arranged in a 1-m square on the ceiling at 2.22 meters height, where the smartphone was placed parallel on the floor from 1.4 meters height. Those using high frequency signals (111.619-114.582 Hz) in the same room setting showed 50th-percentile 2D position errors of less than 0.44 meter. The position calculation was offline and not implemented on real time. Potential applications and limitations of the proposed method are discussed. |
| Rights: | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/85073 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
|
Submitter: 杉本 雅則
|
