Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/93970
PIRA download icon_1.1View/Download Full Text
Title: Signal power distribution based modulation format identification for coherent optical receivers
Authors: Liu, J
Zhong, K 
Dong, Z 
Guo, C
Lau, APT 
Lu, C 
Lu, Y
Issue Date: Jul-2017
Source: Optical fiber technology, July 2017, v. 36, p. 75-81
Abstract: A simple modulation format identification (MFI) technique based on extracting features from the statistical distributions of normalized signal power is proposed for cognitive coherent optical receivers. The proposed MFI technique requires no prior training and is independent of phase noise or frequency offset. Furthermore, it also performs good identification of the polarization-multiplexed (PM) M-QAM signals even after insufficient equalization of the constant modulus algorithm (CMA). Simulation results demonstrate successful MFI among PM-QPSK, PM-8-QAM, PM-16-QAM, PM-32-QAM and PM-64-QAM signals within OSNR range of practical system. Experimental verification using PM-QPSK/16-QAM/64-QAM signals also confirms the feasibility of the proposed MFI technique after long distance fiber transmission.
Keywords: Coherent optical receiver
Digital signal processing
Modulation format identification
Publisher: Academic Press
Journal: Optical fiber technology 
ISSN: 1068-5200
EISSN: 1095-9912
DOI: 10.1016/j.yofte.2017.02.009
Rights: © 2017 Elsevier Inc. All rights reserved.
© 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Liu, J., Zhong, K., Dong, Z., Guo, C., Lau, A. P. T., Lu, C., & Lu, Y. (2017). Signal power distribution based modulation format identification for coherent optical receivers. Optical Fiber Technology, 36, 75-81 is available at https://doi.org/10.1016/j.yofte.2017.02.009.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Zhong_Signal_Power_Distribution.pdfPre-Published version831.55 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

52
Last Week
1
Last month
Citations as of Apr 28, 2024

Downloads

42
Citations as of Apr 28, 2024

SCOPUSTM   
Citations

12
Citations as of May 3, 2024

WEB OF SCIENCETM
Citations

13
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.