Comparison of convolutional and turbo codes for OFDM with antenna diversity in high-bit-rate wireless applications

This letter presents simulation results for the application of turbo coding to an OFDM system with diversity. First, results are presented for convolutional and Reed-Solomon codes. It is shown that even with short constraint lengths, convolutional codes have the potential to outperform Reed-Solomon...

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Bibliographic Details
Published in:IEEE communications letters 2000-09, Vol.4 (9), p.277-279
Main Authors: Lang Lin, Cimini, L.J., Chuang, J.C.-I.
Format: Article
Language:English
Subjects:
Antennas
Applied sciences
AWGN
Bandwidth
Coding, codes
Convolutional codes
Decoders
Decoding
Diversity reception
Exact sciences and technology
Fading
Information, signal and communications theory
OFDM
Orthogonal Frequency Division Multiplexing
Performance evaluation
Receiving antennas
Reed-Solomon codes
Signal and communications theory
Simulation
Symbols
Telecommunications and information theory
Transmitting antennas
Turbo codes
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Summary:This letter presents simulation results for the application of turbo coding to an OFDM system with diversity. First, results are presented for convolutional and Reed-Solomon codes. It is shown that even with short constraint lengths, convolutional codes have the potential to outperform Reed-Solomon codes, provided that sufficient precision is used in the soft decoder. We then evaluate the performance of turbo codes under slow fading conditions and study the effects of varying codeword size. Increasing codeword size theoretically provides better interleaving between the two component codes. However, this advantage is less clear when the fading rate is significantly lower than the symbol rate, which is typical of the high-data-rate systems considered here. Under such conditions, the advantage of using two component convolutional codes in turbo codes is limited. A single convolutional code with a long constraint length may be a better choice.
ISSN:1089-7798
1558-2558
DOI:10.1109/4234.873485