Title :
Confidence intervals for simulations using Reed-Solomon codes
Author :
Ebel, William J. ; Ingels, Frank M.
Author_Institution :
Electr. Eng. Dept., Mississippi State Univ., MI, USA
Abstract :
The minimum length confidence interval (CI) for the decoded binary symbol error probability is considered for a Monte Carlo communication system simulation which includes a Reed-Solomon (RS) code. The binary errors at the demodulator output are assumed to be independent with probability Pch, and the RS decoder is assumed to be an errors-only, incomplete (bounded distance) decoder with decoded bit error probability Pc,b. Let z denote the number of codewords sent through the channel for a simulation trial and let random variable (RV) Nz be the number of errors observed to occur at the RS decoder output. To compute the CI, the discrete probability density function (pdf) P{Nz}, is derived for Pc,b ≪ P ch and shown to compare well with simulation results. It is shown that P{Nz} is unimodal (one maximum) for z ≫ 1 but is generally multimodal (multiple maxima) for small z. In this paper, the minimum length CI is considered for z ≫ 1 subject to Pc,b ≪ Pch
Keywords :
Monte Carlo methods; Reed-Solomon codes; coding errors; digital simulation; error statistics; military communication; Monte Carlo communication system simulation; RS decoder; Reed-Solomon codes; decoded bit error probability; discrete probability density function; minimum length confidence interval; Analytical models; Computational modeling; Decoding; Demodulation; Error probability; Monte Carlo methods; Probability density function; Random variables; Reed-Solomon codes; Stochastic systems;
Conference_Titel :
Military Communications Conference, 1993. MILCOM '93. Conference record. Communications on the Move., IEEE
Conference_Location :
Boston, MA
Print_ISBN :
0-7803-0953-7
DOI :
10.1109/MILCOM.1993.408680