The Error Performance Analysis Over Cyclic Redundancy Check Codes

Abstract

The burst error is generated in digital communication networks by various unpredictable conditions, which occur at high error rates, for short durations, and can impact services. To completely describe a burst error one has to know the bit pattern. This is impossible in practice on working systems. Therefore, under the memoryless binary symmetric channel (MBSC) assumptions, the performance evaluation or estimation schemes for digital signal 1 (DS1) transmission systems carrying live traffic is an interesting and important problem. This study will present some analytical methods, leading to efficient detecting algorithms of burst error using cyclic redundancy check (CRC) code. The definition of burst error is introduced using three different models. Among the three burst error models, the mathematical model is used in this study. The probability density function, function(b) of burst error of length b is proposed. The performance of CRC-n codes is evaluated and analyzed using function(b) through the use of a computer simulation model within CRC block burst error. The simulation result shows that the mean block burst error tends to approach the pattern of the burst error which random bit errors generate.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA246020

Entities

People

  • Hee B. Yoon

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Communication Systems
  • Computational Science
  • Computer Programs
  • Computers
  • Digital Communications
  • Engineering
  • Markov Chains
  • Mathematical Models
  • Networks
  • Probability
  • Probability Density Functions
  • Random Variables
  • Redundancy
  • Simulations
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Programming and Software Development.
  • Radio communications and signal processing.