Interpixel Interference Mitigation in Visible Light Communication Using Image Sensor

Vuong, Dat; Yoo, Myungsik

doi:10.1109/access.2018.2865492

Cited by 7 publications

(6 citation statements)

References 14 publications

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“…In Reference [16], the threshold is an average brightness. Before transmitting information, three groups of Barker sequence with the length of 13 are inserted.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

“…In the actual communication, the probability that the status Off of LED is close to the status On of LED is small. If this average value was used as the threshold, it was easy to produce error [16]. A multifeature LED bit detection algorithm was proposed in reference [17] that using three new LED features, average greyscale ratio (AGR), gradient radial inwardness (GRI), and neighbour greyscale ratio (NGR).…”

Section: Introductionmentioning

confidence: 99%

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A Novel Threshold Scheme for Reducing Spatial Intersymbol Interference in Vehicular Visible Light Communication Based on Image Sensors

Zhan

Zhao

2021

Wireless Communications and Mobile Computing

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LEDs can be used to communicate under the premise of satisfying illumination, which lays the groundwork for visible light communication (VLC). The application of outdoor VLC has drawn more attention, especially the application of vehicle-to-vehicle (V2V) which can significantly improve traffic safety and information transmission efficiency. The image sensor has the characteristics of spatial separation, easily realizes MIMO, and does not need to be strictly aligned with the transmitter, so it is especially suitable for vehicular VLC. However, because of the diffuseness of LED and the small pixel size of the image sensor, it is easy to produce the blooming effects and interfering among symbols. When decoding at the receiving terminal, it will judge the status Off of LEDs to be the status On. By analysing the blooming effects caused by surrounding LEDs, a novel threshold scheme is proposed in this paper according to the probability distribution of the sum of the optical power of the LED itself and after interference. Experiments show that the proposed method has advantages in improving BER compared with the expected threshold method and the average method, especially with long-distance communication (70 m), and the BER has been improved by 57% and 39%, respectively.

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“…In Reference [16], the threshold is an average brightness. Before transmitting information, three groups of Barker sequence with the length of 13 are inserted.…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Threshold Scheme for Reducing Spatial Intersymbol Interference in Vehicular Visible Light Communication Based on Image Sensors

Zhan

Zhao

2021

Wireless Communications and Mobile Computing

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“…For the blooming effect, the luminous power of a given pixel is strong enough to illuminate the neighboring captured pixels. The works [15], [16] propose ways to mitigate this issue. In this case, even classic image restoration methods can be used to mitigate the blurring effects, generated either by the low resolution or by the low capture rate of the optical camera.…”

Section: Index Termsmentioning

confidence: 99%

A Tensor-Based Optical Camera Communication (OCC) System With Joint Data Detection and Video Restoration

Ximenes¹,

Larêdo²

2021

Preprint

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<div>The Optical Camera Communication (OCC) technology allows Visible Light Communications (VLC), one of the key technologies for the Sixth Generation (6G) of mobile communications, to be used with image sensors on the receiver side. For Screen-to-Camera (S2C) applications, in which Light Emitting Diode (LED) screens are used to send information symbols, increasing either (transmitted) image resolution or video frame rate may negatively impact the bit error performance and the visual quality of the OCC-encoded videos. This work proposes a completely new OCC/S2C transmission and reception system, in which it is possible to recover both the transmitted symbols and to restore the video quality at the same time. For this dual-task, a Parallel Factor Analysis (PARAFAC) decomposition is applied to model an OCC system for the ﬁrst time in the literature. Computational simulations corroborate the correct formulation of the proposed models, propositions and algorithms, in addition to demonstrating that increasing the number of frames of the OCC-encoded video can generate diversity gains. This work also includes discussion on the practical aspects of data rate, data volume, and computational complexity of the receiver, accordingly to the system’s parameters.</div>

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“…Since the greyscales are scaled into the range from −1 to 1, the threshold for discriminate On and Off LEDs is zero. In [10], the effect of greyscale variation between frames is effectively eliminated by repeatedly measuring the greyscale of On and Off LED through preamble frames. Therefore, the threshold can be updated after every 1000 frames.…”

Section: B Existing Led Bit Detection Algorithmsmentioning

confidence: 99%

“…The associate editor coordinating the review of this manuscript and approving it for publication was Mohammad Hossein Anisi. emerged as a promising candidate for vehicular communication owing to its many advantages [3]- [10].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Feature LED Bit Detection Algorithm in Vehicular Optical Camera Communication

Yoo

2019

IEEE Access

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In a vehicular optical camera communication (VOCC) system, digital information is transmitted using LED panels and received using cameras. The transmitted bits are obtained by processing the captured images to detect the ON and OFF statuses of LEDs in the array. In determining the LED status, the current LED bit detection algorithms only rely on the grayscale, which is an unreliable feature of LEDs. Consequently, they exhibit poor performance in unfavorable conditions. The contribution of this paper is the proposed multi-feature LED bit detection algorithm that employs three new features of LED: average greyscale ratio (AGR), gradient radial inwardness (GRI), and neighbor greyscale ratio (NGR). Two features, AGR and GRI, individually have substantially more discriminability of LED statuses than greyscale. More importantly, the three proposed features differentiate LED statuses under different perspectives. Consequently, the combination of the three features using Fisher linear discriminant analysis (FLDA) yields outstanding accuracy and robustness of bit detection, even in severe conditions. Highly realistic simulations of a VOCC system are conducted to verify the superiority and robustness of the proposed algorithm. INDEX TERMSVisible light communication, optical camera communication, vehicle, LED, detection. TRONG-HOP DO received the B.Sc. degree in mathematics and computer science from the University of Science, VNU-HCM, Ho Chi Minh City, Vietnam, in 2009, and the Ph.D. degree in information and telecommunication from Soongsil University, Seoul, South Korea, in 2015, where he is currently a Postdoctoral Researcher with the School of Electronic Engineering. His research interests include wireless sensor networks, visible light communication, and vehicle communication and sensing.

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Interpixel Interference Mitigation in Visible Light Communication Using Image Sensor

Cited by 7 publications

References 14 publications

A Novel Threshold Scheme for Reducing Spatial Intersymbol Interference in Vehicular Visible Light Communication Based on Image Sensors

A Novel Threshold Scheme for Reducing Spatial Intersymbol Interference in Vehicular Visible Light Communication Based on Image Sensors

A Tensor-Based Optical Camera Communication (OCC) System With Joint Data Detection and Video Restoration

A Multi-Feature LED Bit Detection Algorithm in Vehicular Optical Camera Communication

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