PDOA Based Indoor Positioning Using Visible Light Communication

Naz, Ayesha; Asif, Hafiz M.; Umer, Tariq; Kim, Byung-Seo

doi:10.1109/access.2018.2796623

Cited by 53 publications

(46 citation statements)

References 22 publications

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“…On the one hand, indoor VLP technology does not need to install additional transmitters in the room, only need to change the Light Emitting Diode (LED) driving circuit. On the other hand, the LED-based lighting provides illumination, positioning, and communication at little additional cost [5].…”

Section: Introductionmentioning

confidence: 99%

Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

Chen

Guan

et al. 2020

IEEE Access

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Photodiode-based (PD-based) visible light positioning (VLP) has become a research focus of indoor positioning technology, while the existing VLP models rarely consider the anti-interference and positioning time of that. In this paper, indoor real-time three-dimensional visible light positioning system using fingerprinting and extreme learning machine (ELM) is proposed to make the system achieve not only high positioning accuracy and elevated anti-interference but also well-behaved real-time ability. In contrast to the positioning system based on K-Nearest Neighbor or Support Vector Machine, the proposed system achieves the highest positioning accuracy and the state-of-the-art positioning speed. Furthermore, the visible light positioning kernel is proposed as a method to reduce the size of the fingerprint database and thus reduce the training time exponentially. Both the simulation and the experiment results show that the proposed system achieves real-time 3-D positioning with high anti-interference. Therefore, this scheme can be considered as one of the effective methods for indoor 3-D positioning. INDEX TERMS Extreme learning machine (ELM), photodiode (PD), positioning fingerprint, real-time positioning, visible light positioning (VLP).

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Section: Introductionmentioning

confidence: 99%

Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

Chen

Guan

et al. 2020

IEEE Access

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“…According to a recent survey [4], the positioning algorithms play an important role in VL-IPS and nearly one-third of works focus on them. According to the measurement parameters, these algorithms can be divided into four categories, time measurement algorithms [5] [6], signal strength measurement algorithms [7] [8], signal phase measurement algorithms [9] and others [10] [11]. The Received Signal Strength based Trilateration Localization (RSS-TL) algorithm can achieve a high positioning accuracy with low system complexity [4], it thus becomes more and more popular for VL-IPS.…”

Section: Introductionmentioning

confidence: 99%

NLOS-Aware VLC-based Indoor Localization: Algorithm Design and Experimental Validation

Huang

Zhang

Zhou

et al. 2020

2020 IEEE Wireless Communications and Networking Conference (WCNC)

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The Visible Light Indoor Positioning System (VL-IPS) has been a popular research area recently. In VL-IPS, many localization methods have been proposed by leveraging the Received Signal Strength (RSS) based trilateration. However, the traditional RSS based trilateration localization (RSS-TL) method is very sensitive to the lighting environment and would results in a big localization error due to the presence of nonline-of-sight (NLOS) light signal. In light of this, we propose a novel NLOS-aware localization algorithm, namely Enhanced Fingerprinting-aided RSS-TL (EFP-RSS-TL). It permits to improve the localization accuracy for the corner regions of a room by eliminating the NLOS impact while keeping the same high accuracy for the room center. This is achieved by leveraging a RSS fingerprint database which records the line-of-sight (LOS) light power ratios beforehand. For validation purpose, we built a real VL-IPS platform and implemented the proposed algorithm. Experimental results show that the proposed NLOS-aware EFP-RSS-TL algorithm enables to reduce significantly the average positioning error (by up to 79%) compared to its counterparts. Besides, our proposal cuts the database size by 50% and is more robust to environment changes. In a room of 4.7 m x 2.7 m, the achieved average positioning error is around 6 cm when it is vacant and it is no more than 14.5 cm when it is occupied by several people.

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“…Among others, VLC is a promising technology that offers a huge licensed-free spectrum, low latency, immunity to interference from electromagnetic sources, low-power consumption, no security issues and less harmful compared with Radio Frequency (RF) modules [1]. Due to its unique characteristics, VLC is considered as the most suitable and secure alternative to RF communications especially for niche applications such as positioning [2]. A typical VLC system incorporates certain systematic features supporting high capacity, high Signal-to-Noise-Ratio (SNR), reduced Bit Error Rate (BER), and optimized received power.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Non-Orthogonal Multiple Access Based Visible Light Communication Systems

et al. 2019

Self Cite

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In visible light communication (VLC), the data is transmitted by modulating the light emitting diode (LED). The data-rate is throttled by the narrow modulation bandwidth of LEDs, which becomes a barrier for attaining high transmission rates. Non-orthogonal multiple access (NOMA) is a new scheme envisioned to improve the system capacity. In addition to multiple access schemes, optimization techniques are applied to further improve the data rate. In this letter, convex optimization is applied to NOMA-based VLC system for downlink. The proposed optimization system is analyzed in terms of the bit error rate (BER) and the sum-rate.

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PDOA Based Indoor Positioning Using Visible Light Communication

Cited by 53 publications

References 22 publications

Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

Indoor Real-Time 3-D Visible Light Positioning System Using Fingerprinting and Extreme Learning Machine

NLOS-Aware VLC-based Indoor Localization: Algorithm Design and Experimental Validation

Optimization of Non-Orthogonal Multiple Access Based Visible Light Communication Systems

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