2021
DOI: 10.1109/jlt.2020.3043046
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A Demodulation Method Using a Gaussian Mixture Model For Unsynchronous Optical Camera Communication With on-off Keying

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Cited by 9 publications
(6 citation statements)
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References 28 publications
(45 reference statements)
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“…Let denote the number of image frames required by the HS camera to synchronize the timing and decode the bit sequence on the receiver. Our previous work experimentally confirmed that when there is a clock difference between the transmitter and receiver, the bit error rate (BER) performance is stable when ≤ 100 [11]. Fig.…”
Section: Resultsmentioning
confidence: 61%
See 1 more Smart Citation
“…Let denote the number of image frames required by the HS camera to synchronize the timing and decode the bit sequence on the receiver. Our previous work experimentally confirmed that when there is a clock difference between the transmitter and receiver, the bit error rate (BER) performance is stable when ≤ 100 [11]. Fig.…”
Section: Resultsmentioning
confidence: 61%
“…Additionally, for high-speed communication based on the HS camera receiver, we conducted a simulation with a OCC channel model to check the bit-error-rate (BER) performance of the inverse-LPS when HD-SPD and SD-SPD are used as FEC decoders. To make our simulation reflect a realistic environment, we applied the empirical parameters of the OCC experiment system from our previous work [11].…”
Section: A System Modelmentioning
confidence: 99%
“…Let β denote the number of required image frames that the high-speed camera uses to synchronize the timing and decode the bit sequence on the receiver. In our previous work [9], experimental results showed that when there is a clock difference between the transmitter and receiver, stable bit error rate (BER) performance is achieved with 60 ≤ β ≤ 100. Fig.…”
Section: Simulation Resultsmentioning
confidence: 99%
“…It can be seen from these equations that P rx and A proj decrease with increasing distance (constant power density on the image sensor). Thus, the received optical power at each pixel is expressed in Equation ( 3) by combining Equations ( 1) and (2).…”
Section: Multispectral Camera Communicationmentioning
confidence: 99%