Proceedings of the 4th International Conference on Information Technology and Management Innovation

Breadth-First Maximum-Likelihood Sequence Detection of Ring Convolutional Coded Continuous Phase Modulation

Authors
Lei Zhang, Huaping Lu, Aimin Zhu, Jiuqiang Cui
Corresponding Author
Lei Zhang
Available Online October 2015.
DOI
10.2991/icitmi-15.2015.157How to use a DOI?
Keywords
Continuous phase modulation; ring convolutional codes; maximum-likelihood sequence detection; breadth-first.
Abstract

This paper shows a breadth-first maximum-likelihood sequence detection method for ring convolutional coded continuous phase modulation (CPM) over additive white Gaussian noise (AWGN) channel. By reserving the states which are closest to the received signal in the normalized squared Euclidean distance after every state has only one best path the high detection complexity is reduced according to our needs. Numerical results shows that this detection method maintains good performances comparing with the maximum-likelihood detector based on Viterbi algorithm (VA) with a significant reduction in detection complexity.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 4th International Conference on Information Technology and Management Innovation
Series
Advances in Computer Science Research
Publication Date
October 2015
ISBN
978-94-6252-112-4
ISSN
2352-538X
DOI
10.2991/icitmi-15.2015.157How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Lei Zhang
AU  - Huaping Lu
AU  - Aimin Zhu
AU  - Jiuqiang Cui
PY  - 2015/10
DA  - 2015/10
TI  - Breadth-First Maximum-Likelihood Sequence Detection of Ring Convolutional Coded Continuous Phase Modulation
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 935
EP  - 938
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.157
DO  - 10.2991/icitmi-15.2015.157
ID  - Zhang2015/10
ER  -