Conference paper Open Access

Design of Low-Complexity Convolutional Codes over GF(q )

Klaimi, Rami; Abdel Nour, Charbel; Douillard, Catherine; Farah, Joumana


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        <foaf:name>Abdel Nour, Charbel</foaf:name>
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        <foaf:name>Douillard, Catherine</foaf:name>
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            <foaf:name>Department of Electricity and Electronics, Faculty of Engineering Lebanese University, Roumieh, Lebanon</foaf:name>
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    <dct:title>Design of Low-Complexity Convolutional Codes over GF(q )</dct:title>
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    <dcat:keyword>Finite field,</dcat:keyword>
    <dcat:keyword>non-binary codes,</dcat:keyword>
    <dcat:keyword>recursive systematic convolutional codes,</dcat:keyword>
    <dcat:keyword>coded modulation,</dcat:keyword>
    <dcat:keyword>turbo codes.</dcat:keyword>
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    <dct:description>&lt;p&gt;This paper proposes a new family of recursive systematic convolutional codes, defined in the non-binary Domain over different Galois fields GF(q) and intended to be used as component codes for the design of non-binary turbo codes. A general framework for the design of the best codes over different GF(q) is described. The designed codes offer better performance than the non-binary convolutional codes found in the literature. They also outperform their binary counterparts when combined with their corresponding QAM modulation or with lower order modulations.&lt;/p&gt;</dct:description>
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