An Analysis of the Impact of LED Tilt on Visible Light Positioning Accuracy

Whereas the impact of photodiode noise and reflections is heavily studied in Visible Light Positioning (VLP), an often underestimated deterioration of VLP accuracy is caused by tilt of the Light Emitting Diodes (LEDs). Small LED tilts may be hard to avoid and can have a significant impact on the claimed centimeter-accuracy of VLP systems. This paper presents a Monte-Carlo-based simulation study of the impact of LED tilt on the accuracy of Received Signal Strength (RSS)-based VLP for different localization approaches. Results show that trilateration performs worse than (normalized) Least Squares algorithms, but mainly outside the LED square. Moreover, depending on inter-LED distance and LED height, median tilt-induced errors are in the range between 1 and 6 cm for small LED tilts, with errors scaling linearly with the LED tilt severity. Two methods are proposed to estimate and correct for LED tilts and their performance is compared.

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Received signal strength ratio based optical wireless indoor localization using light emitting diodes for illumination

2013 IEEE International Conference on Consumer Electronics (ICCE) ◽

10.1109/icce.2013.6486796 ◽

2013 ◽

Cited By ~ 8

Author(s):

Soo-Yong Jung ◽

Chang-Kuk Choi ◽

Sang Hu Heo ◽

Seong Ro Lee ◽

Chang-Soo Park

Keyword(s):

Light Emitting Diodes ◽

Indoor Localization ◽

Signal Strength ◽

Received Signal Strength ◽

Strength Ratio ◽

Optical Wireless ◽

Light Emitting ◽

Wireless Indoor Localization

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Human-Induced Effects on RSS Ranging Measurements for Cooperative Positioning

International Journal of Navigation and Observation ◽

10.1155/2012/959140 ◽

2012 ◽

Vol 2012 ◽

pp. 1-13 ◽

Cited By ~ 20

Author(s):

Francescantonio Della Rosa ◽

Mauro Pelosi ◽

Jari Nurmi

Keyword(s):

Human Factors ◽

Path Loss ◽

Distance Estimation ◽

Signal Strength ◽

Received Signal Strength ◽

Experimental Investigations ◽

Positioning Accuracy ◽

Cooperative Positioning ◽

Hand Grip ◽

The Impact

We present experimental evaluations of human-induced perturbations on received-signal-strength-(RSS-) based ranging measurements for cooperative mobile positioning. To the best of our knowledge, this work is the first attempt to gain insight and understand the impact of both body loss and hand grip on the RSS for enhancing proximity measurements among neighbouring devices in cooperative scenarios. Our main contribution is represented by experimental investigations. Analysis of the errors introduced in the distance estimation using path-loss-based methods has been carried out. Moreover, the exploitation of human-induced perturbations for enhancing the final positioning accuracy through cooperative schemes has been assessed. It has been proved that the effect of cooperation is very limited if human factors are not taken into account when performing experimental activities.

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Visible Light Positioning with Multiple Transmitters and Multiple Receiving Sensors

10.31224/osf.io/sfkc5 ◽

2021 ◽

Author(s):

Muhammad Salman Bashir

Keyword(s):

Visible Light ◽

Least Squares ◽

Unbiased Estimator ◽

Communication Systems ◽

Weighted Least Squares ◽

Signal Strength ◽

Received Signal Strength ◽

Best Linear Unbiased Estimator ◽

Positioning Systems ◽

Best Linear Unbiased

Visible light communications (VLC) based positioning systems will form an important part of the future generation wireless communication systems because they offer higher accuracy for indoor positioning as compared to radio frequency based systems. In this paper, we have used non Bayesian statistical signal processing techniques for the hybrid time-of-arrival/received-signal-strength and hybrid time-difference-of-arrival/received-signal-strength based positioning. These hybrid measurements are combined with the following fusion algorithms: weighted least squares and the best linear unbiased estimator. These two fusion algorithms are compared in terms of the mean Euclidean error as a function of various parameters such as signal-to-noise ratio, transmitter arrangement and synchronization error. Even though the performance of the weighted least squares algorithm is better, the best linear unbiased estimator is still an attractive algorithm for systems that require a lower complexity.

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