Improved Syndrome Decoding of Interleaved Subspace Codes

Conference: SCC 2017 - 11th International ITG Conference on Systems, Communications and Coding
02/06/2017 - 02/09/2017 at Hamburg, Germany

Proceedings: ITG-Fb. 268: SCC 2017

Pages: 6Language: englishTyp: PDF

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Authors:
Bartz, Hannes; Meier, Manuela; Sidorenko, Vladimir (Institute for Communications Engineering, Technical University of Munich, Munich, Germany)

Abstract:
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.