DocumentCode
1581449
Title
Convolution Coder Software Implementation Using VIiterbiDecoding Algorithm
Author
Khalifa, Othman O. ; Al-maznaee, Tariq ; Munjid, Mahmood ; Hussan, A.
Author_Institution
Dept. of Electr. & Compute Eng., Univ. Malaysia, Kuala Lumpur
fYear
2008
Firstpage
1
Lastpage
9
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.
Keywords
Viterbi decoding; channel coding; convolutional codes; forward error correction; quantisation (signal); BER; Viterbi decoding algorithm; convolution coder software implementation; forward error correction; noisy channel; quantization; random binary data generation; AWGN; Additive white noise; Convolution; Convolutional codes; Decoding; Forward error correction; Gaussian noise; Software algorithms; Viterbi algorithm; Voltage; Convolution coding; Forward error correction; Viterbi decoding algorithm; component;
fLanguage
English
Publisher
ieee
Conference_Titel
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location
Damascus
Print_ISBN
978-1-4244-1751-3
Electronic_ISBN
978-1-4244-1752-0
Type
conf
DOI
10.1109/ICTTA.2008.4530233
Filename
4530233
Link To Document