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
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;
Conference_Titel :
Communications (ICC), 2011 IEEE International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-61284-232-5
Electronic_ISBN :
1550-3607
DOI :
10.1109/icc.2011.5963099