In this work, we propose a novel theoretical model to optimize the window profile of Fiber Bragg Grating Sensor (FBGS) based on the sensing system requirement using an automated new code. The main objective of the proposed approach is to seek the higher Reflected power as long as side lobes are kept in the required level based on the design setting of FBGS. For this purpose, Coupled Mode Theory (CMT) and Transfer Matrix Method (TMM) have been programmed using new closed-form expressions to describe the light apodization in the FBGS. The proposed algorithm optimize automatically the FBGS window profile and calculate automatically its coefficients according to the required Side Lobe Level (SLL) and the allowable Full Width at Half Maximum (FWHM) of the FBGS reflection response. The proposed method has been compared with the state-of-art alternatives to prove how it helps to obtain better results. Comparison results demonstrate the efficiency of the suggested technique.
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Pages- Terahertz Imaging & Detection
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Monday, May 1, 2017
Abstract-Theoretical Approach to Optimize Theoretical Approach to Optimize Fiber Bragg Grating Sensor Performance using an Automated New Coder Performance using an Automated New Code
In this work, we propose a novel theoretical model to optimize the window profile of Fiber Bragg Grating Sensor (FBGS) based on the sensing system requirement using an automated new code. The main objective of the proposed approach is to seek the higher Reflected power as long as side lobes are kept in the required level based on the design setting of FBGS. For this purpose, Coupled Mode Theory (CMT) and Transfer Matrix Method (TMM) have been programmed using new closed-form expressions to describe the light apodization in the FBGS. The proposed algorithm optimize automatically the FBGS window profile and calculate automatically its coefficients according to the required Side Lobe Level (SLL) and the allowable Full Width at Half Maximum (FWHM) of the FBGS reflection response. The proposed method has been compared with the state-of-art alternatives to prove how it helps to obtain better results. Comparison results demonstrate the efficiency of the suggested technique.
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