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...
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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 |
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_version_ |
1725711764317798400 |