Abstract
An effective optimization method based on a self-adaptive differential evolution (DE) algorithm is proposed to design high-channel-count fiber Bragg grating (FBG) filters. By combining the optimization algorithm with the tailored group delay technology, we have established a mathematical model aiming at minimizing the maximum index modulation of the grating. Equipped with a parameter self-adaptive strategy, the improved DE algorithm shows its powerful global searching ability in finding the optimal group delay parameter for each channel. Design examples demonstrate that the proposed approach yields better results with a remarkable reduction in the maximum index modulation compared with the previous works. Furthermore, we numerically present a 1037-channel 50-GHz spaced FBG filter enabling to cover the whole bands (O + E + S + C + L + U), which indicates the potential application of this method in the dense wavelength-division multiplexing (DWDM) system.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
