Lasers, Fiber Optics, and Communications

On the more accurate channel model and positioning based on time-of-arrival for visible light localization

[+] Author Affiliations
Changeez Amini, Abbas Taherpour

Imam Khomeini International University, Department of Electrical Engineering, Norouzian Boulevard, Qazvin 34148-96818, Iran

Tamer Khattab

Qatar University, Department of Electrical Engineering, P.O. Box 2713, Doha, Qatar

Saeed Gazor

Queen’s University, Department of Electrical and Computer Engineering, Walter Light Hall, Kingston, Ontario K7L 3N6, Canada

Opt. Eng. 56(1), 016110 (Jan 16, 2017). doi:10.1117/1.OE.56.1.016110
History: Received October 11, 2016; Accepted December 7, 2016
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Abstract.  This paper presents an improved propagation channel model for the visible light in indoor environments. We employ this model to derive an enhanced positioning algorithm using on the relation between the time-of-arrivals (TOAs) and the distances for two cases either by assuming known or unknown transmitter and receiver vertical distances. We propose two estimators, namely the maximum likelihood estimator and an estimator by employing the method of moments. To have an evaluation basis for these methods, we calculate the Cramer–Rao lower bound (CRLB) for the performance of the estimations. We show that the proposed model and estimations result in a superior performance in positioning when the transmitter and receiver are perfectly synchronized in comparison to the existing state-of-the-art counterparts. Moreover, the corresponding CRLB of the proposed model represents almost about 20 dB reduction in the localization error bound in comparison with the previous model for some practical scenarios.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

Changeez Amini ; Abbas Taherpour ; Tamer Khattab and Saeed Gazor
"On the more accurate channel model and positioning based on time-of-arrival for visible light localization", Opt. Eng. 56(1), 016110 (Jan 16, 2017). ; http://dx.doi.org/10.1117/1.OE.56.1.016110


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