Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection

Yuliang Gao; Pak Tao Lau; Chao Lu; Jian Wu; Yan Li; Kun Xu; Wei Li; Jintong Lin

Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection

Yuliang Gao, Pak Tao Lau, Chao Lu, Jian Wu, Yan Li, Kun Xu, Wei Li, Jintong Lin

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

31 Citations (Scopus)

Abstract

A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more than a factor of 2 compared with other techniques.

Original language	English
Title of host publication	2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011
Publication status	Published - 11 Jul 2011
Event	2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011 - Los Angeles, CA, United States Duration: 6 Mar 2011 → 10 Mar 2011

Conference

Conference	2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011
Country/Territory	United States
City	Los Angeles, CA
Period	6/03/11 → 10/03/11

ASJC Scopus subject areas

Computer Networks and Communications
Electronic, Optical and Magnetic Materials

Cite this

@inproceedings{841b5b8a5d064e8fb8f539ac5b8b3b59,

title = "Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection",

abstract = "A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more than a factor of 2 compared with other techniques.",

author = "Yuliang Gao and Lau, {Pak Tao} and Chao Lu and Jian Wu and Yan Li and Kun Xu and Wei Li and Jintong Lin",

year = "2011",

month = jul,

day = "11",

language = "English",

isbn = "9781457702136",

booktitle = "2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011",

note = "2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011 ; Conference date: 06-03-2011 Through 10-03-2011",

}

Gao, Y, Lau, PT , Lu, C, Wu, J, Li, Y, Xu, K, Li, W & Lin, J 2011, Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection. in 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011., 5875287, 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011, Los Angeles, CA, United States, 6/03/11.

Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection. / Gao, Yuliang; Lau, Pak Tao ; Lu, Chao et al.
2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011. 2011. 5875287.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection

AU - Gao, Yuliang

AU - Lau, Pak Tao

AU - Lu, Chao

AU - Wu, Jian

AU - Li, Yan

AU - Xu, Kun

AU - Li, Wei

AU - Lin, Jintong

PY - 2011/7/11

Y1 - 2011/7/11

N2 - A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more than a factor of 2 compared with other techniques.

AB - A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more than a factor of 2 compared with other techniques.

UR - http://www.scopus.com/inward/record.url?scp=79959992608&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 9781457702136

BT - 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011

T2 - 2011 Optical Fiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference, OFC/NFOEC 2011

Y2 - 6 March 2011 through 10 March 2011

ER -

Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection

Abstract

Conference

ASJC Scopus subject areas

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