Name: Investigation of Different Constituent Encoders in a Turbo-code Scheme for Reduced Decoder Complexity (en Inglés)
Price: 87.79 USD
Availability: InStock
Author: National Aeronautics and Space Administr ; Kwatra, S. C.
ISBN: 9781288910922

portada Investigation of Different Constituent Encoders in a Turbo-code Scheme for Reduced Decoder Complexity (en Inglés)

Formato

Libro Físico

Autor

National Aeronautics and Space Administr

S. C. Kwatra

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

24.6 x 18.9 x 0.5 cm

Peso

0.17 kg.

ISBN13

9781288910922

Categorías

Educación

Investigation of Different Constituent Encoders in a Turbo-code Scheme for Reduced Decoder Complexity (en Inglés)

National Aeronautics and Space Administr (Autor) · S. C. Kwatra (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "Investigation of Different Constituent Encoders in a Turbo-code Scheme for Reduced Decoder Complexity (en Inglés)"

A large number of papers have been published attempting to give some analytical basis for the performance of Turbo-codes. It has been shown that performance improves with increased interleaver length. Also procedures have been given to pick the best constituent recursive systematic convolutional codes (RSCC's). However testing by computer simulation is still required to verify these results. This thesis begins by describing the encoding and decoding schemes used. Next simulation results on several memory 4 RSCC's are shown. It is found that the best BER performance at low E(sub b)/N(sub o) is not given by the RSCC's that were found using the analytic techniques given so far. Next the results are given from simulations using a smaller memory RSCC for one of the constituent encoders. Significant reduction in decoding complexity is obtained with minimal loss in performance. Simulation results are then given for a rate 1/3 Turbo-code with the result that this code performed as well as a rate 1/2 Turbo-code as measured by the distance from their respective Shannon limits. Finally the results of simulations where an inaccurate noise variance measurement was used are given. From this it was observed that Turbo-decoding is fairly stable with regard to noise variance measurement.