Preliminary investigation of indoor positioning system using Visible Light Communication

See, Yuen Chark; Lee, Wilson; Yap, S.C.; Leong, Chun Farn

doi:10.1109/iris.2015.7451616

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…In Figure 6 , we can see that the error ratio is mostly below 10% when the actual distances are within 2 m. In addition, the positioning error is below 0.2 m, which depends on the maximum radius of the PIN circle. According to Reference [ 11 ], the RSS positioning algorithm can achieve an accuracy of 7 cm. In the proposed indoor positioning system, we use the RSS to calculate the distance without using any lens to capture a high proportion of light.…”

Section: Resultsmentioning

confidence: 99%

“…Regardless of the air and device refraction, we consider that radiation angle φ equals the incidence angle

. The received optical power

at a receiver in a direct link can be represented in Equation (1) [ 6 , 7 , 8 , 9 ]:

where

represents the Lambertian order;

is the distance between the LED and the receiver;

is the physical area of a photodiode;

is the refractive index of the optical concentrator;

is the incidence angle of the light with respect to the normal vector of a photodiode;

is the gain of the optical filter; and

is the average transmitted optical power [ 10 , 11 ]. All the constants are expressed by formula

as follows:

…”

Section: Methodsmentioning

confidence: 99%

“…In PD-based systems, the distance of a receiver is estimated based on a measurement in the various forms of received signal strength (RSS) information, angle of arrival (AOA), time of arrival (TOA), time difference of arrival (TDOA), and so on [ 10 ]. According to Reference [ 11 ], the RSS positioning algorithm can achieve an accuracy of 7 cm. The TDOA system has the maximum location error of 4.5 mm with an average location error of 1.8 mm.…”

Section: Introductionmentioning

confidence: 99%

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Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes

Zhao

Shi

et al. 2016

Sensors

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Exploiting the increasingly wide use of light emitting diodes (LEDs) lighting, in this paper we propose a reversed indoor positioning system (IPS) based on LED visible light communication (VLC) in order to improve indoor positioning accuracy. Unlike other VLC positioning systems, we employ two annular receivers with multi-photodiodes installed on the ceiling to locate the persons who carry LEDs. The basic idea is using multi-photodiodes to calculate the angle while using the received signal strength (RSS) method to calculate the distance. The experiment results show that the effective positioning range of the proposed system is 1.8 m when the distance between two receivers is 1.2 m. Moreover, a positioning error less than 0.2 m can be achieved under the condition that the radius of the PIN circle is between 0.16 m and 0.2 m, and the distance of the transmitter-receiver plane is less than 1.8 m, which will be effective in practice.

show abstract

Section: Resultsmentioning

confidence: 99%

“…Regardless of the air and device refraction, we consider that radiation angle φ equals the incidence angle

. The received optical power

at a receiver in a direct link can be represented in Equation (1) [ 6 , 7 , 8 , 9 ]:

where

represents the Lambertian order;

is the distance between the LED and the receiver;

is the physical area of a photodiode;

is the refractive index of the optical concentrator;

is the incidence angle of the light with respect to the normal vector of a photodiode;

is the gain of the optical filter; and

is the average transmitted optical power [ 10 , 11 ]. All the constants are expressed by formula

as follows:

…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes

Zhao

Shi

et al. 2016

Sensors

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show abstract

“…Many VLCIPSs use photodiodes as receivers of signals from light‐emitting diodes (LEDs) and calculate positioning coordinates from the strengths of these signals –. Unfortunately, photodiodes are not frequently used and consumers cannot be required to use a photodiodes of receiver to configure store navigation devices.…”

Section: Introductionmentioning

confidence: 99%

“…[6][7][8] Many VLCIPSs use photodiodes as receivers of signals from light-emitting diodes (LEDs) and calculate positioning coordinates from the strengths of these signals. [9][10][11][12][13][14][15][16][17] Unfortunately, photodiodes are not frequently used and consumers cannot be required to use a photodiodes of receiver to configure store navigation devices. Since mobile devices are already considered to be personal necessities, in this work, the camera in a mobile device is used to receive VLC signals.…”

Section: Introductionmentioning

confidence: 99%

A high accuracy and efficiency indoor positioning system with visible light communication

Chen

2018

Trans Emerging Tel Tech

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Positioning technology is important to the development of location‐based services. This work proposes a highly accurate and efficient indoor positioning system that uses visible light communication technology. The system uses a fingerprinting positioning mechanism that is based on a mobile device. A dynamic k‐NN (DKNN) mechanism is developed to improve upon k‐nearest neighbor (k‐NN) positioning, which is based on fingerprinting. This work also proposes an integrated angle of arrival (AOA) and fingerprinting mechanism for three‐dimensional positioning, which reduces the time that would otherwise be required for fingerprinting training and improves the accuracy of the indoor positioning system. When used for fixed‐height two‐dimensional positioning, the mean error distance of the DKNN fingerprinting positioning mechanism is approximately 0.15 cm. The AOA mean error distance is approximately 11.43 cm. The traditional k‐NN mean error distance is approximately 1.47 cm. Ignoring the height error, the integrated AOA and fingerprinting positioning mechanisms have a mean error distance of approximately 2.43 cm; the traditional AOA mean error distance is approximately 11.10 cm, and the fingerprinting mean error distance is approximately 2.74 cm. When the height error is considered, the AOA and fingerprinting fusion positioning mechanisms have a mean error distance of approximately 2.83 cm; the AOA mean error distance is approximately 11.62 cm, and the fingerprinting mean error distance is approximately 4.15 cm. The experimental results therefore show that the proposed mechanism provides the highest positioning accuracy.

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Location Estimation for DCO-OFDM based VLC in Realistic Indoor Channel

Kalikulov

Dautov

Kızılırmak

2017

2017 IEEE 11th International Conference on Application of Information and Communication Technologies (AICT)

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Preliminary investigation of indoor positioning system using Visible Light Communication

Cited by 7 publications

References 8 publications

Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes

Reversed Three-Dimensional Visible Light Indoor Positioning Utilizing Annular Receivers with Multi-Photodiodes

A high accuracy and efficiency indoor positioning system with visible light communication

Location Estimation for DCO-OFDM based VLC in Realistic Indoor Channel

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