Details of Research Outputs

Status已发表Published
TitleDynamic Joint Frequency Offset and Phase Noise Tracking by Number-Theoretic Net-Based Gaussian Particle Filter in Coherent Optical Systems
Creator
Date Issued2022
Source PublicationIEEE Communications Letters
ISSN1089-7798
Volume26Issue:6Pages:1388-1392
Abstract

A number-theoretic net (NT-net)-based Gaussian particle filter (NT-GPF) is proposed for the joint estimation of frequency offset (FO) and linear phase noise (LPN) in a dynamic and real-time manner. Based on the concept of uniform design, the NT-net can uniformly generate particles on an ellipse for a given bivariate normal distribution. As a result, the NT-GPF can achieve accurate FO and LPN tracking with only a small number of particles, which greatly improves the estimation efficiency and noise tolerance compared with the conventional GPF. We also propose a recursive signal detection algorithm to further enhance the final system bit error rate (BER) performance. Simulations verify the accuracy, robustness and efficiency of the NT-GPF.

KeywordCovariance matrices Estimation frequency offset Heuristic algorithms Indexes linear phase noise Number-theoretic net particle filter Particle filters Probability density function Signal detection
DOI10.1109/LCOMM.2022.3158744
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaTelecommunications
WOS SubjectTelecommunications
WOS IDWOS:000809396900041
Scopus ID2-s2.0-85126328846
Citation statistics
Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/8937
CollectionFaculty of Science and Technology
Corresponding AuthorHuang, Wei
Affiliation
1.Division of Science and Technology, BNU-HKBU United International College, Zhuhai 519087, China.
2.Guangxi Key Laboratory of Optoelectronic Information Processing, School of Optoelectronic Engineering, Guilin University of Electronic Technology, Guilin 541004, China.
3.Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
First Author AffilicationBeijing Normal-Hong Kong Baptist University
Recommended Citation
GB/T 7714
Du, Xinwei,Xu, Yangfan,Huang, Weiet al. Dynamic Joint Frequency Offset and Phase Noise Tracking by Number-Theoretic Net-Based Gaussian Particle Filter in Coherent Optical Systems[J]. IEEE Communications Letters, 2022, 26(6): 1388-1392.
APA Du, Xinwei, Xu, Yangfan, Huang, Wei, & Yu, Changyuan. (2022). Dynamic Joint Frequency Offset and Phase Noise Tracking by Number-Theoretic Net-Based Gaussian Particle Filter in Coherent Optical Systems. IEEE Communications Letters, 26(6), 1388-1392.
MLA Du, Xinwei,et al."Dynamic Joint Frequency Offset and Phase Noise Tracking by Number-Theoretic Net-Based Gaussian Particle Filter in Coherent Optical Systems". IEEE Communications Letters 26.6(2022): 1388-1392.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Du, Xinwei]'s Articles
[Xu, Yangfan]'s Articles
[Huang, Wei]'s Articles
Baidu academic
Similar articles in Baidu academic
[Du, Xinwei]'s Articles
[Xu, Yangfan]'s Articles
[Huang, Wei]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Du, Xinwei]'s Articles
[Xu, Yangfan]'s Articles
[Huang, Wei]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

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