Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition

Based on the feature extraction of multidimensional asynchronous delay-tap plot entropy (ADTPE) and multiclass classification of support vector machine (SVM), we propose a method for recognition of multiple optical modulation formats and various data rates. We firstly present the algorithm of multid...

Full description

Bibliographic Details
Main Authors: Junyu Wei, Zhiping Huang, Shaojing Su, Zhen Zuo
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Entropy
Subjects:
SVM
Online Access:http://www.mdpi.com/1099-4300/18/1/30
id doaj-d23f5992c73c400e9c6f9029050cbb78
record_format Article
spelling doaj-d23f5992c73c400e9c6f9029050cbb782020-11-24T22:38:49ZengMDPI AGEntropy1099-43002016-01-011813010.3390/e18010030e18010030Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time RecognitionJunyu Wei0Zhiping Huang1Shaojing Su2Zhen Zuo3College of Mechatronics Engineering and Automation, National University of Defense Technology, Deya Road, Changsha 410073, ChinaCollege of Mechatronics Engineering and Automation, National University of Defense Technology, Deya Road, Changsha 410073, ChinaCollege of Mechatronics Engineering and Automation, National University of Defense Technology, Deya Road, Changsha 410073, ChinaCollege of Mechatronics Engineering and Automation, National University of Defense Technology, Deya Road, Changsha 410073, ChinaBased on the feature extraction of multidimensional asynchronous delay-tap plot entropy (ADTPE) and multiclass classification of support vector machine (SVM), we propose a method for recognition of multiple optical modulation formats and various data rates. We firstly present the algorithm of multidimensional ADTPE, which is extracted from asynchronous delay sampling pairs of modulated optical signal. Then, a multiclass SVM is utilized for fast and accurate classification of several widely-used optical modulation formats. In addition, a simple real-time recognition scheme is designed to reduce the computation time. Compared to the existing method based on asynchronous delay-tap plot (ADTP), the theoretical analysis and simulation results show that our recognition method can effectively enhance the tolerance of transmission impairments, obtaining relatively high accuracy. Finally, it is further demonstrated that the proposed method can be integrated in an optical transport network (OTN) with flexible expansion. Through simply adding the corresponding sub-SVM module in the digital signal processer (DSP), arbitrary new modulation formats can be recognized with high recognition accuracy in a short response time.http://www.mdpi.com/1099-4300/18/1/30optical modulation recognitionmultidimensional ADTPESVMreal time
collection DOAJ
language English
format Article
sources DOAJ
author Junyu Wei
Zhiping Huang
Shaojing Su
Zhen Zuo
spellingShingle Junyu Wei
Zhiping Huang
Shaojing Su
Zhen Zuo
Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition
Entropy
optical modulation recognition
multidimensional ADTPE
SVM
real time
author_facet Junyu Wei
Zhiping Huang
Shaojing Su
Zhen Zuo
author_sort Junyu Wei
title Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition
title_short Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition
title_full Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition
title_fullStr Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition
title_full_unstemmed Using Multidimensional ADTPE and SVM for Optical Modulation Real-Time Recognition
title_sort using multidimensional adtpe and svm for optical modulation real-time recognition
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2016-01-01
description Based on the feature extraction of multidimensional asynchronous delay-tap plot entropy (ADTPE) and multiclass classification of support vector machine (SVM), we propose a method for recognition of multiple optical modulation formats and various data rates. We firstly present the algorithm of multidimensional ADTPE, which is extracted from asynchronous delay sampling pairs of modulated optical signal. Then, a multiclass SVM is utilized for fast and accurate classification of several widely-used optical modulation formats. In addition, a simple real-time recognition scheme is designed to reduce the computation time. Compared to the existing method based on asynchronous delay-tap plot (ADTP), the theoretical analysis and simulation results show that our recognition method can effectively enhance the tolerance of transmission impairments, obtaining relatively high accuracy. Finally, it is further demonstrated that the proposed method can be integrated in an optical transport network (OTN) with flexible expansion. Through simply adding the corresponding sub-SVM module in the digital signal processer (DSP), arbitrary new modulation formats can be recognized with high recognition accuracy in a short response time.
topic optical modulation recognition
multidimensional ADTPE
SVM
real time
url http://www.mdpi.com/1099-4300/18/1/30
work_keys_str_mv AT junyuwei usingmultidimensionaladtpeandsvmforopticalmodulationrealtimerecognition
AT zhipinghuang usingmultidimensionaladtpeandsvmforopticalmodulationrealtimerecognition
AT shaojingsu usingmultidimensionaladtpeandsvmforopticalmodulationrealtimerecognition
AT zhenzuo usingmultidimensionaladtpeandsvmforopticalmodulationrealtimerecognition
_version_ 1725711764317798400