Active distances for convolutional codes

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Active distances for convolutional codes. / Höst, Stefan; Johannesson, Rolf; Zigangirov, Kamil; Zyablov, Viktor V.

I: IEEE Transactions on Information Theory, Vol. 45, Nr. 2, 1999, s. 658-669.

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

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Höst, Stefan ; Johannesson, Rolf ; Zigangirov, Kamil ; Zyablov, Viktor V. / Active distances for convolutional codes. I: IEEE Transactions on Information Theory. 1999 ; Vol. 45, Nr. 2. s. 658-669.

RIS

TY - JOUR

T1 - Active distances for convolutional codes

AU - Höst, Stefan

AU - Johannesson, Rolf

AU - Zigangirov, Kamil

AU - Zyablov, Viktor V.

PY - 1999

Y1 - 1999

N2 - A family of active distance measures for general convolutional codes is defined. These distances are generalizations of the extended distances introduced by Thommesen and Justesen (1983) for unit memory convolutional codes. It is shown that the error correcting capability of a convolutional code is determined by the active distances. The ensemble of periodically time-varying convolutional codes is defined and lower bounds on the active distances are derived for this ensemble. The active distances are very useful in the analysis of concatenated convolutional encoders

AB - A family of active distance measures for general convolutional codes is defined. These distances are generalizations of the extended distances introduced by Thommesen and Justesen (1983) for unit memory convolutional codes. It is shown that the error correcting capability of a convolutional code is determined by the active distances. The ensemble of periodically time-varying convolutional codes is defined and lower bounds on the active distances are derived for this ensemble. The active distances are very useful in the analysis of concatenated convolutional encoders

U2 - 10.1109/18.749009

DO - 10.1109/18.749009

M3 - Article

VL - 45

SP - 658

EP - 669

JO - IEEE Transactions on Information Theory

T2 - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

SN - 0018-9448

IS - 2

ER -