Convolution Coder Software Implementation Using VIiterbiDecoding Algorithm

This In this paper, Convolutional coder software implementation using Viterbi decoding algorithm for bitstream that has been encoded using Forward error correction is presented. It will discuss the detailed description and the steps involved in simulating a communication channel using convolutional...

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Published in:2008 3rd International Conference on Information and Communication Technologies : from Theory to Applications : Damascus, Syria 7-11 April 2008 pp. 1 - 9
Main Authors: Khalifa, O.O., Al-maznaee, T., Munjid, M., Hussan, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01.04.2008
Subjects:
Additive white noise
AWGN
component
Convolution
Convolution coding
Convolutional codes
Decoding
Forward error correction
Gaussian noise
Software algorithms
Viterbi algorithm
Viterbi decoding algorithm
Voltage
ISBN:1424417511, 9781424417513
Online Access:Get full text
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Abstract This In this paper, Convolutional coder software implementation using Viterbi decoding algorithm for bitstream that has been encoded using Forward error correction is presented. It will discuss the detailed description and the steps involved in simulating a communication channel using convolutional encoding with Viterbi decoding. The steps will involve generating random binary data, convolutionally encoding the data, passing the encoded data through a noisy channel, quantizing the received channel symbols, and finally performing Viterbi decoding on the quantized channel symbols to recover the original binary data. The paper will be in a convincing manner and authors aim to explain to the reader the advantages of convolutional coding with Viterbi decoding over conventional decoding techniques in terms of BER.
AbstractList This In this paper, Convolutional coder software implementation using Viterbi decoding algorithm for bitstream that has been encoded using Forward error correction is presented. It will discuss the detailed description and the steps involved in simulating a communication channel using convolutional encoding with Viterbi decoding. The steps will involve generating random binary data, convolutionally encoding the data, passing the encoded data through a noisy channel, quantizing the received channel symbols, and finally performing Viterbi decoding on the quantized channel symbols to recover the original binary data. The paper will be in a convincing manner and authors aim to explain to the reader the advantages of convolutional coding with Viterbi decoding over conventional decoding techniques in terms of BER.
Author Hussan, A.
Al-maznaee, T.
Munjid, M.
Khalifa, O.O.
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  surname: Hussan
  fullname: Hussan, A.
  organization: Dept. of Electr. & Compute Eng., Univ. Malaysia, Kuala Lumpur
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SubjectTerms Additive white noise
AWGN
component
Convolution
Convolution coding
Convolutional codes
Decoding
Forward error correction
Gaussian noise
Software algorithms
Viterbi algorithm
Viterbi decoding algorithm
Voltage
Title Convolution Coder Software Implementation Using VIiterbiDecoding Algorithm
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