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An efficient GaN-based two branches optical power splitter based on self-imaging phenomena

Abstract : Underwater wireless optical communication (UOWC) has been attracted to many researchers since it has higher data rate transfer compared to underwater acoustic communications. Therefore, optical devices for this application should be developed. In this paper, we proposed a design of an efficient GaN-based 1×2 optical power splitter based on self-imaging phenomena for underwater application. The design has been optimised and analysed using the finite difference beam propagation method (FDBPM) at 450nm of wavelength, in which the deep seawater has a low absorption. The optimisation was conducted by investigating the effect of waveguide parameters on the structure. The best length and width of the structure were found to be 450 μm and 10 μm, respectively. We have confirmed that the optical power was successfully split input light into two output branches with an almost perfect splitting ratio of 50% at each output port. based 1×2 optical power splitter based on self-imaging phenomena for underwater application. The design has been optimised and analysed using the finite difference beam propagation method (FDBPM) at 450nm of wavelength, in which the deep sea water has a low absorption. The optimisation was conducted by investigating the effect of waveguide parameters on the structure. The best length and width of the structure were found to be 450 μm and 10 μm, respectively. We have confirmed that the optical power was successfully split input light into two output branches with an almost perfect splitting ratio of 50% at each output port.
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Submitted on : Monday, September 19, 2022 - 5:51:14 PM
Last modification on : Tuesday, September 20, 2022 - 3:37:03 AM

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Retno Wigajatri Purnamaningsih, Nji Raden Poespawati, Tomy Abuzairi, El Hadj Dogheche. An efficient GaN-based two branches optical power splitter based on self-imaging phenomena. ICTCE 2019: 2019 The 3rd International Conference on Telecommunications and Communication Engineering, Nov 2019, Tokyo, Japan. pp.1-5, ⟨10.1145/3369555.3369569⟩. ⟨hal-03780870⟩

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