White-LED 3-D indoor positioning using super-resolution technique

Kelvin Kuang Chi Lee; Fu Yuen Shih; Shih Hao Chang

doi:10.1109/ICASI.2016.7539795

White-LED 3-D indoor positioning using super-resolution technique

Kelvin Kuang Chi Lee
, Fu Yuen Shih
, Shih Hao Chang

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents a 3-D indoor positioning algorithm using white light-emitting diodes (W-LED) in the presence of additive white Gaussian noise (AWGN). Adopting a uniform linear array (ULA) based photo-detector, the angle of irradiance and incidence of W-LEDs and photo-detector can be estimated by super-resolution techniques. Through Lambertian model, the corresponding distances can also be calculated. By forming geometric circles, 3-D target location can be determined via non-linear optimization of least-square (LS) criterion. To evaluate the efficacy of the proposed algorithm, MATLAB simulation is conducted for a space of 5m × 5m × 3m with three W-LED sources and one photo-detector device. The simulation result showed less than 10cm location inaccuracy which is a 2.5 fold improvement compared to other 3-D indoor positioning schemes recently presented in the literature.

Original language	English
Title of host publication	2016 International Conference on Applied System Innovation, IEEE ICASI 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467398886
DOIs	https://doi.org/10.1109/ICASI.2016.7539795
State	Published - 10 Aug 2016
Event	2016 International Conference on Applied System Innovation, IEEE ICASI 2016 - Ginowan City Okinawa, Japan Duration: 28 May 2016 → 1 Jun 2016

Publication series

Name	2016 International Conference on Applied System Innovation, IEEE ICASI 2016

Conference

Conference	2016 International Conference on Applied System Innovation, IEEE ICASI 2016
Country/Territory	Japan
City	Ginowan City Okinawa
Period	28/05/16 → 1/06/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

ULA
W-LED
angle of arrival and departure
non-linear optimization
super-resolution

Access to Document

10.1109/ICASI.2016.7539795

Cite this

Lee, K. K. C., Shih, F. Y., & Chang, S. H. (2016). White-LED 3-D indoor positioning using super-resolution technique. In 2016 International Conference on Applied System Innovation, IEEE ICASI 2016 Article 7539795 (2016 International Conference on Applied System Innovation, IEEE ICASI 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASI.2016.7539795

@inproceedings{dd7b616171e94195a7de42f2dbe1899b,

title = "White-LED 3-D indoor positioning using super-resolution technique",

abstract = "This paper presents a 3-D indoor positioning algorithm using white light-emitting diodes (W-LED) in the presence of additive white Gaussian noise (AWGN). Adopting a uniform linear array (ULA) based photo-detector, the angle of irradiance and incidence of W-LEDs and photo-detector can be estimated by super-resolution techniques. Through Lambertian model, the corresponding distances can also be calculated. By forming geometric circles, 3-D target location can be determined via non-linear optimization of least-square (LS) criterion. To evaluate the efficacy of the proposed algorithm, MATLAB simulation is conducted for a space of 5m × 5m × 3m with three W-LED sources and one photo-detector device. The simulation result showed less than 10cm location inaccuracy which is a 2.5 fold improvement compared to other 3-D indoor positioning schemes recently presented in the literature.",

keywords = "ULA, W-LED, angle of arrival and departure, non-linear optimization, super-resolution",

author = "Lee, \{Kelvin Kuang Chi\} and Shih, \{Fu Yuen\} and Chang, \{Shih Hao\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Conference on Applied System Innovation, IEEE ICASI 2016 ; Conference date: 28-05-2016 Through 01-06-2016",

year = "2016",

month = aug,

day = "10",

doi = "10.1109/ICASI.2016.7539795",

language = "???core.languages.en\_GB???",

series = "2016 International Conference on Applied System Innovation, IEEE ICASI 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 International Conference on Applied System Innovation, IEEE ICASI 2016",

}

Lee, KKC, Shih, FY & Chang, SH 2016, White-LED 3-D indoor positioning using super-resolution technique. in 2016 International Conference on Applied System Innovation, IEEE ICASI 2016., 7539795, 2016 International Conference on Applied System Innovation, IEEE ICASI 2016, Institute of Electrical and Electronics Engineers Inc., 2016 International Conference on Applied System Innovation, IEEE ICASI 2016, Ginowan City Okinawa, Japan, 28/05/16. https://doi.org/10.1109/ICASI.2016.7539795

White-LED 3-D indoor positioning using super-resolution technique. / Lee, Kelvin Kuang Chi; Shih, Fu Yuen; Chang, Shih Hao.
2016 International Conference on Applied System Innovation, IEEE ICASI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7539795 (2016 International Conference on Applied System Innovation, IEEE ICASI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - White-LED 3-D indoor positioning using super-resolution technique

AU - Lee, Kelvin Kuang Chi

AU - Shih, Fu Yuen

AU - Chang, Shih Hao

PY - 2016/8/10

Y1 - 2016/8/10

N2 - This paper presents a 3-D indoor positioning algorithm using white light-emitting diodes (W-LED) in the presence of additive white Gaussian noise (AWGN). Adopting a uniform linear array (ULA) based photo-detector, the angle of irradiance and incidence of W-LEDs and photo-detector can be estimated by super-resolution techniques. Through Lambertian model, the corresponding distances can also be calculated. By forming geometric circles, 3-D target location can be determined via non-linear optimization of least-square (LS) criterion. To evaluate the efficacy of the proposed algorithm, MATLAB simulation is conducted for a space of 5m × 5m × 3m with three W-LED sources and one photo-detector device. The simulation result showed less than 10cm location inaccuracy which is a 2.5 fold improvement compared to other 3-D indoor positioning schemes recently presented in the literature.

AB - This paper presents a 3-D indoor positioning algorithm using white light-emitting diodes (W-LED) in the presence of additive white Gaussian noise (AWGN). Adopting a uniform linear array (ULA) based photo-detector, the angle of irradiance and incidence of W-LEDs and photo-detector can be estimated by super-resolution techniques. Through Lambertian model, the corresponding distances can also be calculated. By forming geometric circles, 3-D target location can be determined via non-linear optimization of least-square (LS) criterion. To evaluate the efficacy of the proposed algorithm, MATLAB simulation is conducted for a space of 5m × 5m × 3m with three W-LED sources and one photo-detector device. The simulation result showed less than 10cm location inaccuracy which is a 2.5 fold improvement compared to other 3-D indoor positioning schemes recently presented in the literature.

KW - ULA

KW - W-LED

KW - angle of arrival and departure

KW - non-linear optimization

KW - super-resolution

UR - https://www.scopus.com/pages/publications/84988530560

U2 - 10.1109/ICASI.2016.7539795

DO - 10.1109/ICASI.2016.7539795

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:84988530560

T3 - 2016 International Conference on Applied System Innovation, IEEE ICASI 2016

BT - 2016 International Conference on Applied System Innovation, IEEE ICASI 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 International Conference on Applied System Innovation, IEEE ICASI 2016

Y2 - 28 May 2016 through 1 June 2016

ER -

White-LED 3-D indoor positioning using super-resolution technique

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this