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A Fiber Bragg Grating Sensor Network Using an Improved Differential Evolution Algorithm

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4 Author(s)
Duan Liu ; Wuhan Nat. Lab. for Optoelectron., Huazhong Univ. of Sci. & Technol., Wuhan, China ; Ke Tang ; Zhengyu Yang ; Deming Liu

A novel improved differential evolution (DE) algorithm, named self-adaptive neighborhood search differential evolution plus (SaNSDE+), is used to solve the wavelength detection problem in the wavelength-division-multiplexing (WDM) fiber Bragg grating (FBG) sensor network. The incorporation of the self-adaptive strategy results in an increased accuracy and detection speed for the conventional peak detection (CPD) technique in the FBG sensor network.

Published in:

Photonics Technology Letters, IEEE  (Volume:23 ,  Issue: 19 )