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Parameter Identification of VCSEL Model Based on Local Optimized SFLA(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2018年04期
Page:
59-
Research Field:
计算机工程
Publishing date:

Info

Title:
Parameter Identification of VCSEL Model Based on Local Optimized SFLA
Author(s):
Shi Liheng1; 2; Yu Zhengfeng1; 2; Guo Yajie1; 2; Guo Dongmei1; 2; Cao Huaqi3
(1.School of Physics and Technology,Nanjing Normal University,Nanjing 210023,China)(2.Jiangsu Key Laboratory on Opto-Electronic Technology,Nanjing Normal University,Nanjing 210023,China)(3.Business School,Nanjing Normal University,Nanjing 210023,China)
Keywords:
VCSEL; SFLA; parameter identification
PACS:
TP248.4
DOI:
10.3969/j.issn.1672-1292.2018.04.009
Abstract:
Vertical cavity surface emitting laser(VCSEL)is an important source of optical fiber communication system. The accurate parameters are the key factors to achieve the correct results of optical fiber communication simulation analysis. Based on the experimental results of the relationship between Light-Current-Voltage(L-I-V)characteristics and the small signal response of the laser,we introduce a shuffled frog leaping algorithm(SFLA)to realize the parameter search. In view of the shortcomings of the slow convergence rate of classical SFLA and easiness to fall into local optimal subgroups,the NM single shape search method is introduced to improve the local search scheme. The experimental results show that the local optimization SFLA has faster convergence speed and better adaptability,and that it can accurately identify the actual parameters of VCSEL.

References:

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Last Update: 2018-12-30