DocumentCode :
2418140
Title :
On Monte Carlo Simulation of the Bit Error Rate
Author :
Mazzeo, Brian ; Rice, Michael
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
fYear :
2011
fDate :
5-9 June 2011
Firstpage :
1
Lastpage :
5
Abstract :
Simulation, point estimation, and interval estimation of the bit error rate are rigorously examined. Exact confidence intervals based on the F-distribution approximation for the binomial and negative binomial distributions are derived. Simulations demonstrate 1) that the analysis gives accurate confidence intervals for bit error rate estimators and 2) that the performance of the binomial and negative binomial estimators give similar performance. The negative binomial estimator has the advantage that an a priori estimate or guess of the true bit error probability is not required.
Keywords :
Monte Carlo methods; approximation theory; error statistics; F-distribution approximation; Monte Carlo simulation; bit error probability; bit error rate; interval estimation; negative binomial distributions; Approximation methods; Bit error rate; Equations; Error probability; IEEE Communications Society; Maximum likelihood estimation; Random variables;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1550-3607
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
Type :
conf
DOI :
10.1109/icc.2011.5963099
Filename :
5963099
Link To Document :
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