A low density matrix coding and decoding method based on PPM modulation

Yong Sheng Wu; Ai Ying Yang; Yu Nan Sun

doi:10.3969/j.issn.0372-2112.2012.10.012

A low density matrix coding and decoding method based on PPM modulation

Yong Sheng Wu^*
, Ai Ying Yang
, Yu Nan Sun

^*Corresponding author for this work

School of Optics and Photonics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

According to the sparse characteristic of the PPM modulated signal, this paper proposes a coding method making use of a low density matrix, and decoding with maximum a posteriori probability rule. Compared with the regular LDPC, the proposed method has better error correction ability and decoding speed when using hard or soft decisions.

Original language	English
Pages (from-to)	1976-1979
Number of pages	4
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	40
Issue number	10
DOIs	https://doi.org/10.3969/j.issn.0372-2112.2012.10.012
Publication status	Published - Oct 2012

Keywords

Additive white Gaussian noise (AWGN)
Low density matrix
Maximum a posteriori (MAP)
PPM modulation

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10.3969/j.issn.0372-2112.2012.10.012

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title = "A low density matrix coding and decoding method based on PPM modulation",

abstract = "According to the sparse characteristic of the PPM modulated signal, this paper proposes a coding method making use of a low density matrix, and decoding with maximum a posteriori probability rule. Compared with the regular LDPC, the proposed method has better error correction ability and decoding speed when using hard or soft decisions.",

keywords = "Additive white Gaussian noise (AWGN), Low density matrix, Maximum a posteriori (MAP), PPM modulation",

author = "Wu, \{Yong Sheng\} and Yang, \{Ai Ying\} and Sun, \{Yu Nan\}",

year = "2012",

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language = "English",

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AU - Wu, Yong Sheng

AU - Yang, Ai Ying

AU - Sun, Yu Nan

PY - 2012/10

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N2 - According to the sparse characteristic of the PPM modulated signal, this paper proposes a coding method making use of a low density matrix, and decoding with maximum a posteriori probability rule. Compared with the regular LDPC, the proposed method has better error correction ability and decoding speed when using hard or soft decisions.

AB - According to the sparse characteristic of the PPM modulated signal, this paper proposes a coding method making use of a low density matrix, and decoding with maximum a posteriori probability rule. Compared with the regular LDPC, the proposed method has better error correction ability and decoding speed when using hard or soft decisions.

KW - Additive white Gaussian noise (AWGN)

KW - Low density matrix

KW - Maximum a posteriori (MAP)

KW - PPM modulation

UR - https://www.scopus.com/pages/publications/84871828258

U2 - 10.3969/j.issn.0372-2112.2012.10.012

DO - 10.3969/j.issn.0372-2112.2012.10.012

M3 - Article

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SN - 0372-2112

VL - 40

SP - 1976

EP - 1979

JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

IS - 10

ER -

A low density matrix coding and decoding method based on PPM modulation

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Keywords

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