Improved Syndrome Decoding of Interleaved Subspace Codes
Konferenz: SCC 2017 - 11th International ITG Conference on Systems, Communications and Coding
06.02.2017 - 09.02.2017 in Hamburg, Germany
Tagungsband: SCC 2017
Seiten: 6Sprache: EnglischTyp: PDF
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Autoren:
Bartz, Hannes; Meier, Manuela; Sidorenko, Vladimir (Institute for Communications Engineering, Technical University of Munich, Munich, Germany)
Inhalt:
A syndrome decoding algorithm for interleaved subspace codes of order L is proposed. It corrects L times more packet insertions than known syndrome decoding methods and has less complexity than known interpolation-factorization based decoders when L is larger than the code length.