An efficient simulation method of communications systems with turbo codes

Author

Albert, Bruno B. ; De Assis, Francisco M.

Author_Institution

Departamento de Engenharia Eletrica, Univ. Fed. de Campina Grande, Brazil

fYear

2004

fDate

11-14 July 2004

Firstpage

50

Lastpage

53

Abstract

The authors present an efficient method to estimate the performance of turbo codes with soft output Viterbi algorithm (SOVA) iterative decoding via importance sampling (IS). The method is based on computing a specific decoding error probability of all relevant error centers. The accuracy and viability of the proposed method are demonstrated by two examples. The method is particularly effective at high signal to noise ratio (SNR), where Monte Carlo (MC) simulation takes too much time to obtain an estimative that is statistically sound.

Keywords

Viterbi decoding; error statistics; importance sampling; iterative decoding; turbo codes; IS; SOVA; error probability; importance sampling; iterative decoding; soft output Viterbi algorithm; turbo codes; Bit error rate; Computational modeling; Discrete event simulation; Iterative decoding; Maximum likelihood decoding; Monte Carlo methods; Performance analysis; Signal to noise ratio; Turbo codes; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, 2004 IEEE 5th Workshop on

Print_ISBN

0-7803-8337-0

Type

conf

DOI

10.1109/SPAWC.2004.1439201

Filename

1439201