Abstract
We have proposed an effective method to synthesize and optimize
multichannel fiber Bragg grating filters (MCFBGFs). The novel method
contains two steps, i.e., the discrete layer peeling algorithm generates the
excellent initial guess values and, successively, the nonlinear least
squares method reconstructs and optimizes the expected fiber Bragg grating
parameters from the initial guess in the previous step. Design examples
demonstrate that the proposed method has unique merits to optimize the
reflectivity and dispersion of MCFBGFs and effectively reduce their index
modulation simultaneously.
© 2009 IEEE
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