Please use this identifier to cite or link to this item: http://dlib.scu.ac.ir/handle/Hannan/178748
Title: Carrier Phase Estimation Based on Error Function Calculation for 16-QAM Systems
Authors: Jilong Han;Wei Li;Liyan Huang;Haitao Li;Qianggao Hu;Shaohua Yu
subject: 16-ary quadrature amplitude modulation|error function calculation|Coherent optical communication|carrier phase recovery
Year: 2016
Publisher: IEEE
Abstract: A low complexity carrier phase estimation (CPE) for 16-QAM systems is investigated in this letter. First, we propose a single-stage CPE algorithm based on the error function calculation. In this CPE algorithm, we define an error function and use the four error function values corresponding to four test phase angles (-π/4, -π/8, 0, and π/8) to directly calculate the optimal phase angle, which effectively reduces the computational complexity compared with the blind phase search algorithm. Next, we combine the proposed CPE algorithm with an improved V&V algorithm and propose a two-stage CPE algorithm, which has both advantages of good linewidth tolerance and low computational complexity. Through simulations, the effectiveness of the proposed algorithms is demonstrated in a 28-Gbaud 16-QAM coherent optical transmission system.
URI: http://localhost/handle/Hannan/178748
ISSN: 1041-1135
1941-0174
volume: 28
issue: 22
More Information: 2561
2564
Appears in Collections:2016

Files in This Item:
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Title: Carrier Phase Estimation Based on Error Function Calculation for 16-QAM Systems
Authors: Jilong Han;Wei Li;Liyan Huang;Haitao Li;Qianggao Hu;Shaohua Yu
subject: 16-ary quadrature amplitude modulation|error function calculation|Coherent optical communication|carrier phase recovery
Year: 2016
Publisher: IEEE
Abstract: A low complexity carrier phase estimation (CPE) for 16-QAM systems is investigated in this letter. First, we propose a single-stage CPE algorithm based on the error function calculation. In this CPE algorithm, we define an error function and use the four error function values corresponding to four test phase angles (-π/4, -π/8, 0, and π/8) to directly calculate the optimal phase angle, which effectively reduces the computational complexity compared with the blind phase search algorithm. Next, we combine the proposed CPE algorithm with an improved V&V algorithm and propose a two-stage CPE algorithm, which has both advantages of good linewidth tolerance and low computational complexity. Through simulations, the effectiveness of the proposed algorithms is demonstrated in a 28-Gbaud 16-QAM coherent optical transmission system.
URI: http://localhost/handle/Hannan/178748
ISSN: 1041-1135
1941-0174
volume: 28
issue: 22
More Information: 2561
2564
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7560646.pdf1.24 MBAdobe PDFThumbnail
Preview File
Title: Carrier Phase Estimation Based on Error Function Calculation for 16-QAM Systems
Authors: Jilong Han;Wei Li;Liyan Huang;Haitao Li;Qianggao Hu;Shaohua Yu
subject: 16-ary quadrature amplitude modulation|error function calculation|Coherent optical communication|carrier phase recovery
Year: 2016
Publisher: IEEE
Abstract: A low complexity carrier phase estimation (CPE) for 16-QAM systems is investigated in this letter. First, we propose a single-stage CPE algorithm based on the error function calculation. In this CPE algorithm, we define an error function and use the four error function values corresponding to four test phase angles (-π/4, -π/8, 0, and π/8) to directly calculate the optimal phase angle, which effectively reduces the computational complexity compared with the blind phase search algorithm. Next, we combine the proposed CPE algorithm with an improved V&V algorithm and propose a two-stage CPE algorithm, which has both advantages of good linewidth tolerance and low computational complexity. Through simulations, the effectiveness of the proposed algorithms is demonstrated in a 28-Gbaud 16-QAM coherent optical transmission system.
URI: http://localhost/handle/Hannan/178748
ISSN: 1041-1135
1941-0174
volume: 28
issue: 22
More Information: 2561
2564
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7560646.pdf1.24 MBAdobe PDFThumbnail
Preview File