The mode-locked lasers based on nonlinear polarization rotation (NPR) are applied in many fields such as optical communication, precision metrology and material processing due to simple structure, low cost and versatile states. In this paper, a compact Erbium-doped all-fiber mode-locked laser based on NPR is presented. The ring laser cavity consists of only a single in-line integrated device. The repetition of the laser is ~209MHz with 50 nm spectrum width and 236 fs pulse width. The laser can be utilized in the fields of precision measurement, optical sensing, optical communication, material processing and medical imaging.
Mode-locked fiber lasers based on nonlinear polarization rotation (NPR) have been widely applied due to the simple setup, high performance and rich nonlinear dynamics. However, temperature, vibration, and stress can easily disrupt the optimized mode-locked state. To address this problem, automatic mode-locked lasers using different self-tuning algorithms are proposed in recent years. However, it is relatively difficult to verify and optimize the performance of self-tuning algorithm since the use of actual laser platforms, which hinders the development of intelligent mode-locked fiber laser. In this paper, we demonstrate a simulation platform for NPR mode-locked fiber lasers by using coupled Ginzburg–Landau equation and Jones matrix, which makes the optimization of intelligent self-tuning algorithm easier. As a proof-of-principle demonstration, genetic algorithm and human-like algorithm are implemented to prove the ability of comparing different self-tuning algorithms.
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