In this study, we consider techniques to search for high-rate punctured convolutional code (PCC) encoders by rearranging row vectors of identical-encoder generator matrices. One well-known method to obtain a good PCC encoder is to perform an exhaustive search of all candidates. However, this approach is time-intensive. An exhaustive search with a rate RG=1/2 original encoder requires a relatively short time, whereas that with an RG=1/3 or lower original encoder takes significantly longer. The encoders with lower-rate original encoders are expected to create better PCC encoders. Thus, this paper proposes a method that uses exhaustive search results with rate RG=1/2 original encoders, and rearranges row vectors of identical-encoder generator matrices to create PCCs with a lower rate original code. Further, we provide PCC encoders obtained by searches that utilize our method.
Sen MORIYA
Kindai University
Kana KIKUCHI
Kindai University
Hiroshi SASANO
Kindai University
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Sen MORIYA, Kana KIKUCHI, Hiroshi SASANO, "Search for High-Rate Punctured Convolutional Codes through Transformed Identical Codes" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 12, pp. 2607-2614, December 2017, doi: 10.1587/transfun.E100.A.2607.
Abstract: In this study, we consider techniques to search for high-rate punctured convolutional code (PCC) encoders by rearranging row vectors of identical-encoder generator matrices. One well-known method to obtain a good PCC encoder is to perform an exhaustive search of all candidates. However, this approach is time-intensive. An exhaustive search with a rate RG=1/2 original encoder requires a relatively short time, whereas that with an RG=1/3 or lower original encoder takes significantly longer. The encoders with lower-rate original encoders are expected to create better PCC encoders. Thus, this paper proposes a method that uses exhaustive search results with rate RG=1/2 original encoders, and rearranges row vectors of identical-encoder generator matrices to create PCCs with a lower rate original code. Further, we provide PCC encoders obtained by searches that utilize our method.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2607/_p
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@ARTICLE{e100-a_12_2607,
author={Sen MORIYA, Kana KIKUCHI, Hiroshi SASANO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Search for High-Rate Punctured Convolutional Codes through Transformed Identical Codes},
year={2017},
volume={E100-A},
number={12},
pages={2607-2614},
abstract={In this study, we consider techniques to search for high-rate punctured convolutional code (PCC) encoders by rearranging row vectors of identical-encoder generator matrices. One well-known method to obtain a good PCC encoder is to perform an exhaustive search of all candidates. However, this approach is time-intensive. An exhaustive search with a rate RG=1/2 original encoder requires a relatively short time, whereas that with an RG=1/3 or lower original encoder takes significantly longer. The encoders with lower-rate original encoders are expected to create better PCC encoders. Thus, this paper proposes a method that uses exhaustive search results with rate RG=1/2 original encoders, and rearranges row vectors of identical-encoder generator matrices to create PCCs with a lower rate original code. Further, we provide PCC encoders obtained by searches that utilize our method.},
keywords={},
doi={10.1587/transfun.E100.A.2607},
ISSN={1745-1337},
month={December},}
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TY - JOUR
TI - Search for High-Rate Punctured Convolutional Codes through Transformed Identical Codes
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2607
EP - 2614
AU - Sen MORIYA
AU - Kana KIKUCHI
AU - Hiroshi SASANO
PY - 2017
DO - 10.1587/transfun.E100.A.2607
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2017
AB - In this study, we consider techniques to search for high-rate punctured convolutional code (PCC) encoders by rearranging row vectors of identical-encoder generator matrices. One well-known method to obtain a good PCC encoder is to perform an exhaustive search of all candidates. However, this approach is time-intensive. An exhaustive search with a rate RG=1/2 original encoder requires a relatively short time, whereas that with an RG=1/3 or lower original encoder takes significantly longer. The encoders with lower-rate original encoders are expected to create better PCC encoders. Thus, this paper proposes a method that uses exhaustive search results with rate RG=1/2 original encoders, and rearranges row vectors of identical-encoder generator matrices to create PCCs with a lower rate original code. Further, we provide PCC encoders obtained by searches that utilize our method.
ER -