Optical versus RF Free-Space Signal Transmission: a Comparison of Optical and RF Receivers based on Noise Equivalent Power and Signal-to-Noise Ratio

2021 ◽  
pp. 1-1
Author(s):  
Geert Morthier ◽  
Gunther Roelkens ◽  
Roel Baets
Keyword(s):  
Free Space ◽  
Signal To Noise Ratio ◽  
Signal Transmission ◽  
Noise Equivalent Power ◽  
Signal To Noise ◽  
Rf Receivers ◽  
Noise Ratio

scholarly journals Calculations of Signal to Noise Ratio (SNR) for Free Space Optical Communication Systems

2008 ◽  
Vol 5 (1) ◽  
pp. 95-100
Author(s):  
Baghdad Science Journal
Keyword(s):  
Optical Communication ◽  
Free Space ◽  
Communication Systems ◽  
Signal To Noise Ratio ◽  
Full Duplex ◽  
Free Space Optical ◽  
Signal To Noise ◽  
Optical Communication Systems ◽  
Space Optical Communication ◽  
Noise Ratio

In this paper, we calculate and measure the SNR theoretically and experimental for digital full duplex optical communication systems for different ranges in free space, the system consists of transmitter and receiver in each side. The semiconductor laser (pointer) was used as a carrier wave in free space with the specification is 5mW power and 650nm wavelength. The type of optical detector was used a PIN with area 1mm2 and responsively 0.4A/W for this wavelength. The results show a high quality optical communication system for different range from (300-1300)m with different bit rat (60-140)kbit/sec is achieved with best values of the signal to noise ratio (SNR).

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.

A method for determining photoreceptor signal-to-noise ratio in the time and frequency domains with a pseudorandom stimulus

1994 ◽  
Vol 11 (6) ◽  
pp. 1221-1225 ◽  
Author(s):  
Eero Kouvalainen ◽  
Matti Weckström ◽  
Mikko Juusola
Keyword(s):  
Frequency Response ◽  
Signal To Noise Ratio ◽  
Signal Transmission ◽  
Repeated Sequences ◽  
Signal To Noise ◽  
Frequency Domains ◽  
Noise Ratio ◽  
Time And Frequency Domains

AbstractWe have developed a method that utilizes repeated sequences of pseudorandomly modulated stimuli for calculation of the SNR either in the time or frequency domains. The method has the advantage that the distribution of SNR over relevant frequencies is readily observed. In addition, a SNR value, calculated as the ratio of the corresponding variances, is an estimate of the true SNR because it has been weighted by the cell's frequency response. The procedure offers significant advantages when studying signal transmission in nonspiking cells like photoreceptors.

NOISE-ENHANCED PROPAGATION IN A DISSIPATIVE CHAIN OF TRIGGERS

2002 ◽  
Vol 12 (03) ◽  
pp. 629-633 ◽  
Author(s):  
S. MORFU ◽  
J. C. COMTE ◽  
J. M. BILBAULT ◽  
P. MARQUIÉ
Keyword(s):  
Numerical Simulation ◽  
Stochastic Resonance ◽  
Signal To Noise Ratio ◽  
Signal Transmission ◽  
Active Role ◽  
Signal To Noise ◽  
Optimum Amount ◽  
Propagation Length ◽  
Noise Ratio ◽  
Spatiotemporal Noise

We study the influence of spatiotemporal noise on the propagation of square waves in an electrical dissipative chain of triggers. By numerical simulation, we show that noise plays an active role in improving signal transmission. Using the Signal to Noise Ratio at each cell, we estimate the propagation length. It appears that there is an optimum amount of noise that maximizes this length. This specific case of stochastic resonance shows that noise enhances propagation.

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