scholarly journals Optimum Design of a Composite Optical Receiver by Taguchi and Fuzzy Logic Methods

Micromachines ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1434
Author(s):  
Ning Wang ◽  
Xing Peng ◽  
Lingbao Kong
Keyword(s):  
Fuzzy Logic ◽  
Signal To Noise Ratio ◽  
Optical Gain ◽  
Visible Light Communication ◽  
Optical Receiver ◽  
Performance Characteristics ◽  
Combination Method ◽  
Signal To Noise ◽  
Received Power ◽  
Noise Ratio

This paper investigates a composite optical receiver for an indoor visible light communication (VLC) system. The optical gain, received power, and signal-to-noise ratio (SNR) are considered to be optimized. However, it is difficult to find a balance between them in general design and optimization. We propose the Taguchi and fuzzy logic combination method to improve multiple performance characteristics effectively in the optical receiver. The simulated results indicate that the designed receiver has the characteristics of an optical gain of 10.57, a half field of view (HFOV) of 45°, a received power of 6.4635 dBm, a signal-to-noise ratio (SNR) of 89.8874 dB, and a spot size of 2 mm. The appropriate weights of the three performance characteristics for the inputs of the fuzzy controllers increase the optical gain by 13.601 dB, and the received power and SNR by 11.097 dB and 0.373 dB, respectively. Therefore, the optical receiver optimally designed by the Taguchi and fuzzy logic methods can significantly meet the requirements of an indoor VLC system.

Optical gain signal-to-noise ratio transfer efficiency as an index for ranking of phosphor- photodetector combinations used in X-ray medical imaging

2004 ◽  
Vol 78 (6) ◽  
pp. 915-919 ◽  
Author(s):  
N. Kalivas ◽  
L. Costaridou ◽  
I. Kandarakis ◽  
D. Cavouras ◽  
C.D. Nomicos ◽  
...  
Keyword(s):  
Medical Imaging ◽  
Signal To Noise Ratio ◽  
Optical Gain ◽  
Transfer Efficiency ◽  
Signal To Noise ◽  
X Ray ◽  
Noise Ratio

scholarly journals Optimal Power Allocation Between Beam Tracking and Symbol Detection Channels in a Free-Space Optical Communications Receiver

2020 ◽  
Author(s):  
Muhammad Salman Bashir ◽  
Mohamed-Slim Alouini
Keyword(s):  
Power Allocation ◽  
Free Space ◽  
Signal To Noise Ratio ◽  
Optimal Power Allocation ◽  
Free Space Optical ◽  
Signal To Noise ◽  
Pointing Error ◽  
Optimal Power ◽  
Received Power ◽  
Noise Ratio

Free-space optical (FSO) communications will play an important role in the backhaul of future generation of wireless networks in order to support high data rates. Because of narrow beamwidth inherent to an optical signal, acquisition and tracking form an important component of any FSO communication system. In this study, we have analyzed the optimization of received power allocation between tracking and data channels in an FSO receiver. The objective function that is optimized (minimized) are the probability of error and the probability of outage, and the optimization of power allocation is carried out as a function of parameters such as noise power, pointing error variance, pointing error correlation coefficient, and the threshold of outage. We have analyzed the optimization concerning the lognormal and exponentiated Weibull fading scenarios as well. We learn that the optimal power allocation is a function of the received signal-to-noise ratio: a lower signal-to-noise ratio dictates that a higher fraction of received power should be diverted to the tracking channel and vice versa.

scholarly journals An Optimization of the Signal-to-Noise Ratio Distribution of an Indoor Visible Light Communication System Based on the Conventional Layout Model

2020 ◽  
Vol 12 (21) ◽  
pp. 9006
Author(s):  
Xiangyang Zhang ◽  
Nan Zhao ◽  
Fadi Al-Turjman ◽  
Muhammad Bilal Khan ◽  
Xiaodong Yang
Keyword(s):  
Visible Light ◽  
Communication System ◽  
Signal To Noise Ratio ◽  
Visible Light Communication ◽  
Optimal Layout ◽  
Signal To Noise ◽  
Ratio Distribution ◽  
Channel Quality ◽  
Reflected Light ◽  
Noise Ratio

For an actual visible light communication system, it is necessary to consider the uniformity of indoor illumination. Most of the existing optimization schemes, however, do not consider the effect of the first reflected light, and do not conform to the practical application conventions, which increases the actual cost and the complexity of system construction. In this paper, considering the first reflected light and based on the conventional layout model and the classic indoor visible light communication model, a scheme using the parameter Q to determine the optimal layout of channel quality is proposed. We determined the layout, and then carried out a simulation. For comparison, the normal layout and the optimal layout of illumination were also simulated. The simulation results show that the illuminance distributions of the three layouts meet the standards of the International Organization for Standardization. The optimal layout of channel quality in the signal-to-noise ratio distribution, maximum delay spread distribution, and impulse response is obviously better than the optimal layout of illumination. In particular, the effective area percentage of the optimal layout of channel quality is increased by 0.32% and 6.08% to 88.80% as compared with the normal layout’s 88.48% and the optimal layout of illumination’s 82.72%. However, compared with the normal layout, the advantages are not very prominent.

scholarly journals Optimal Power Allocation Between Beam Tracking and Symbol Detection Channels in a Free-Space Optical Communications Receiver

2020 ◽  
Author(s):  
Muhammad Salman Bashir ◽  
Mohamed-Slim Alouini
Keyword(s):  
Power Allocation ◽  
Free Space ◽  
Signal To Noise Ratio ◽  
Optimal Power Allocation ◽  
Free Space Optical ◽  
Signal To Noise ◽  
Pointing Error ◽  
Optimal Power ◽  
Received Power ◽  
Noise Ratio

<div><br></div><div>Free-space optical (FSO) communications will play an important role in the backhaul of future generation of wireless networks in order to support high data rates. Because of narrow beamwidth inherent to an optical signal, acquisition and tracking form an important component of any FSO communication system. In this study, we have analyzed the optimization of received power allocation between tracking and data channels in an FSO receiver. The objective function that is optimized (minimized) are the probability of error and the probability of outage, and the optimization of power allocation is carried out as a function of parameters such as noise power, pointing error variance, pointing error correlation coefficient, and the threshold of outage. We have analyzed the optimization concerning the lognormal and exponentiated Weibull fading scenarios as well. We learn that the optimal power allocation is a function of the received signal-to-noise ratio: a lower signal-to-noise ratio dictates that a higher fraction of received power should be diverted to the tracking channel and vice versa.<br></div><div><br></div>

scholarly journals Optimal Power Allocation Between Beam Tracking and Symbol Detection Channels in a Free-Space Optical Communications Receiver

2020 ◽  
Author(s):  
Muhammad Salman Bashir ◽  
Mohamed-Slim Alouini
Keyword(s):  
Power Allocation ◽  
Free Space ◽  
Signal To Noise Ratio ◽  
Optimal Power Allocation ◽  
Free Space Optical ◽  
Signal To Noise ◽  
Pointing Error ◽  
Optimal Power ◽  
Received Power ◽  
Noise Ratio

<div><br></div><div>Free-space optical (FSO) communications will play an important role in the backhaul of future generation of wireless networks in order to support high data rates. Because of narrow beamwidth inherent to an optical signal, acquisition and tracking form an important component of any FSO communication system. In this study, we have analyzed the optimization of received power allocation between tracking and data channels in an FSO receiver. The objective function that is optimized (minimized) are the probability of error and the probability of outage, and the optimization of power allocation is carried out as a function of parameters such as noise power, pointing error variance, pointing error correlation coefficient, and the threshold of outage. We have analyzed the optimization concerning the lognormal and exponentiated Weibull fading scenarios as well. We learn that the optimal power allocation is a function of the received signal-to-noise ratio: a lower signal-to-noise ratio dictates that a higher fraction of received power should be diverted to the tracking channel and vice versa.<br></div><div><br></div>

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