Title :
On the Undetected Error Probability of Binary Matrix Ensembles
Author :
Wadayama, Tadashi
Author_Institution :
Nagoya Inst. of Technol., Nagoya, Japan
fDate :
5/1/2010 12:00:00 AM
Abstract :
In this paper, an ensemble analysis of the undetected error probability of a standard error detection scheme based on a sparse binary parity check matrix is presented. The Bernoulli ensemble, the members of which are considered to be matrices generated from an i.i.d. Bernoulli source, is primarily considered herein. The main contributions of the present study are (i) the derivation of the error exponent of the average undetected error probability and (ii) closed form expressions for the variance of the undetected error probability. The behavior of the exponent for an ensemble of sparse matrices is shown to be somewhat different from that for an ensemble of dense matrices. Furthermore, as a byproduct of the proof of the variance formula, a simple covariance formula of the weight distribution is derived.
Keywords :
covariance matrices; error statistics; parity check codes; sparse matrices; Bernoulli ensemble; binary matrix ensembles; covariance formula; sparse binary parity check matrix; sparse matrices; standard error detection; undetected error probability; Automatic repeat request; Covariance matrix; Decoding; Error analysis; Error correction; Error probability; Feedback; Parity check codes; Random variables; Sparse matrices; Ensemble analysis; error detection; lDPC codes; undetected error probability;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2043872