Realization of microcontroller-based polarization control system with genetic algorithm

Mamdoohi, Ghazaleh; Esmailian, Aida; Abas, Ahmad Fauzi; Samsudin, Khairulmizam; Hidayat, A.; Ibrahim, Noor Hisham; Mahdi, Mohd Adzir

doi:10.1109/micc.2009.5431390

Cited by 5 publications

(1 citation statement)

References 28 publications

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“…Numerous algorithms have been developed for the purpose of polarization control, such as simulated annealing (SA), [24] particle swarm optimization (PSO), [25] or the genetic algorithm (GA). [26] The optimization algorithm used in this study is the GD algorithm. The GD algorithm can be briefly described as follows: the control signal for the PC can be represented by the cost function 𝐹 = 𝐹 (𝑣 0 , 𝑣 1 , 𝑣 2 , 𝑣 3 ), which is a function of four voltages.…”

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confidence: 99%

Novel Polarization Control Approach to Long-Term Fiber-Optic Frequency Transfer

Wang¹,

Zhang²,

Liu³

et al. 2020

Chinese Phys. Lett.

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We demonstrate a novel polarization control system based on a gradient descent algorithm, applied to a 450-km optical frequency transfer link. The power of the out-loop beat note is retrieved by controlling the polarization state of the transferred signal, with a recovery time of 24 ms, thereby ensuring the long-term evaluation of the fiber link. As a result, data utilization is enhanced from 70% to 99% over a continuous measurement period of ∼12 h. A fractional transfer instability of 7.2 × 10−20 is achieved at an integration time of 10000 s. This work lays the foundation for the comparison of a remote optical clock system via a long-haul optical fiber link.

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confidence: 99%