2018 IEEE Global Communications Conference (GLOBECOM) 2018
DOI: 10.1109/glocom.2018.8647875
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Passive Indoor Localization for Visible Light Communication Systems

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Cited by 14 publications
(6 citation statements)
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“…Substituting (11), (13), and (14) in (9), H is obtained, and based on (8), the components of the 2 × 2 matrix J(θ) can be found as…”
Section: Theoretical Limits On Localization Performancementioning
confidence: 99%
See 1 more Smart Citation
“…Substituting (11), (13), and (14) in (9), H is obtained, and based on (8), the components of the 2 × 2 matrix J(θ) can be found as…”
Section: Theoretical Limits On Localization Performancementioning
confidence: 99%
“…In these works, the transmitter on the user device sends narrow time-width pulses, and the receivers on the ceiling capture both the LOS and diffuse parts of the optical channel impulse response. Majeed et al introduce a complementary idea in [9] in which the location of objects in the room can be estimated passively using features of the impulse response of the channel between the photodetectors (PDs) and LEDs on the ceiling. Other researchers have shown interest in developing joint VLC localization and object detection using the multipath reflection information.…”
Section: Introductionmentioning
confidence: 99%
“…Visible light-based passive sensing techniques can be divided into two categories (adapted from [32]): (i) general visible light-based (unmodified lighting), with either a devicefree object (full passive) [17]- [19], [33], or a device-equipped object [34]- [37], and (ii) VLC-based techniques with an active transmitter and a device-free object [16], [20], [38]- [43].…”
Section: B Visible Light-based Passive Localizationmentioning
confidence: 99%
“…Majeed et al [16] introduce a VLC-based passive indoor localization approach where the location of an object is estimated by considering the impulse response between the photodetectors and LEDs on the ceiling. Other recent reflection-based techniques such as [17]- [19], which deploy different sensor arrangements, report promising accuracy.…”
Section: Introductionmentioning
confidence: 99%
“…Studies on RF systems have proposed methods to detect the presence of humans and determine their location inside the room by using discriminant features of the channel state information [10]. In [11], a VLCbased passive indoor localization approach is developed in which the location of the objects can be estimated using features of the impulse response between the photodetectors and LEDs on the ceiling. Another VLC-based object detection method that estimates the objects' parameters using the LOS is introduced in [12].…”
Section: Introductionmentioning
confidence: 99%