Received signal strength difference emitter geolocation least squares algorithm comparison

2011 ◽  
Author(s):  
Brad R. Jackson ◽  
S. Wang ◽  
R. Inkol
Keyword(s):  
Least Squares ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Algorithm Comparison ◽  
Least Squares Algorithm ◽  
Strength Difference

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

Electronics ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 389 ◽  
Author(s):  
David Plets ◽  
Sander Bastiaens ◽  
Luc Martens ◽  
Wout Joseph
Keyword(s):  
Monte Carlo ◽  
Visible Light ◽  
Least Squares ◽  
Simulation Study ◽  
Light Emitting Diodes ◽  
Signal Strength ◽  
Received Signal Strength ◽  
Positioning Accuracy ◽  
Light Emitting ◽  
The Impact

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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