2017
DOI: 10.1109/jphot.2017.2771828
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Indoor High Precision Three-Dimensional Positioning System Based on Visible Light Communication Using Particle Swarm Optimization

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Cited by 89 publications
(67 citation statements)
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“…This investigation includes not only a theoretical framework, which provides a CRLB expression for position estimation in a generic three-dimensional scenario, but also direct and two-step estimation algorithms for extracting the position of a VLC receiver, which are shown to achieve accuracies as high as the theoretical limit for high signal-to-noise ratios (SNRs). Due to its low-complexity nature, asynchronous VLP systems have been considered in numerous papers in the literature such as [8], [9], [11], [12], [14], [20]- [25]. For instance, the work in [8] employs RSS measurements to obtain the desired position via trilateration.…”
Section: Introductionmentioning
confidence: 99%
“…This investigation includes not only a theoretical framework, which provides a CRLB expression for position estimation in a generic three-dimensional scenario, but also direct and two-step estimation algorithms for extracting the position of a VLC receiver, which are shown to achieve accuracies as high as the theoretical limit for high signal-to-noise ratios (SNRs). Due to its low-complexity nature, asynchronous VLP systems have been considered in numerous papers in the literature such as [8], [9], [11], [12], [14], [20]- [25]. For instance, the work in [8] employs RSS measurements to obtain the desired position via trilateration.…”
Section: Introductionmentioning
confidence: 99%
“…The PSO algorithm [38,39] to design M-CSK-LTF constellations, is shown as a block diagram in Figure 8 and its operation is explained below:…”
Section: Algorithm To Design M-csk-ltf Constellationsmentioning
confidence: 99%
“…5. New exploration: The PSO algorithm randomly generates N colour points (x p , y p ) using the velocity Equation (16) and the j-th position (17) of each particle [38,39]. where v n j is the velocity adjusted for each particle that takes random values which depend on the variables associated to Equation (16); v n−1 j represents the inertia of the movement associated with each particle; cv, the coefficient of velocity of each particle; learning factor c1 and c2; pbest, best position found for the particle; gbest, best position found by the group; x n j , current position of the particle; and x n−1 j , previous position of the particle: Designing a 4-CSK-LTF Constellation with d min = 5000 Hz and 10,000 Hz Two 4-CSK-LTF constellations with minimal distances d min = 5000 Hz and 10,000 Hz are designed using the PSO algorithm proposed in the previous section.…”
Section: Algorithm To Design M-csk-ltf Constellationsmentioning
confidence: 99%
“…However, on the other hand, it can be very sensitive to the movements of the receiver, which increases significantly the error range. Moreover, the error grows up in scenarios with very tall lamps (more than 1.5‐m high) . There are some others works in the literature that combine RSSI‐based technique with other additional methods to minimize these effects, for example triangulation .…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the error grows up in scenarios with very tall lamps (more than 1.5-m high). 10 There are some others works in the literature that combine RSSI-based technique with other additional methods to minimize these effects, for example triangulation. 7 For this, it is necessary to modify the hardware at the transmitter to provide angle information, where the transmitter emits multiple signals at the same time.…”
Section: Introductionmentioning
confidence: 99%