Calculations of bit error rates for retroreflective laser communications systems in the presence of atmospheric turbulence

2004 ◽  
Author(s):  
Andrew M. Scott ◽  
Kevin D. Ridley
Keyword(s):  
Atmospheric Turbulence ◽  
Error Rates ◽  
Bit Error Rates ◽  
Communications Systems ◽  
Laser Communications

Space laser communications systems for the eighties

1980 ◽  
Author(s):  
M. ROSS ◽  
J. WOLF ◽  
R. LINFORD ◽  
J. ABERNATHY
Keyword(s):  
Communications Systems ◽  
Laser Communications

An Investigation of Microwave Link Degradation due to Atmospheric Conditions (A Case Study of Akure-Owo Digital Microwave Link)

2009 ◽  
Vol 62-64 ◽  
pp. 159-165 ◽  
Author(s):  
P.O. Otasowie ◽  
F.O. Edeko
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Error Rates ◽  
Atmospheric Conditions ◽  
Bit Error Rates ◽  
Data Acquisition Software ◽  
Model Equations ◽  
June July ◽  
Microwave Link

This work investigates the microwave link degradation due to atmospheric conditions on the Akure-Owo Digital Microwave Link. Microwave line of sight measurements were carried out between January and December 2005 with a data acquisition software (PROCOMM PLUS SOFTWARE). The data collected were analyzed using MATLAB 7.0 SOFTWARE program to determine the months of the year that has the highest degradation due to atmospheric conditions and also the months of the year that has the highest bit error rates. The result showed that the months of January, June, July, August and September have the worst signal degradation of -0.97dbm, -2.0dbm, -3.97dbm, -3.97dbm, -1.97dbm. respectively. The result also showed that the bit error rates are good and acceptable throughout the months of the year. A model equation was developed to predict the signal strength received and the bit error rate in the microwave link investigated, when atmospheric conditions are taken into consideration. The results of the predicted model were validated by field data and the results obtained showed an error of -0.2% for the received signal level and zero error for the bit error rate which means that the developed model equations can be used to accurately predict the link degradation parameters.

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