基于K-means算法的自动锁模光纤激光器

Automatic mode-locked fiber laser based on K-means algorithm

  • 摘要: 研究了一种基于K-means算法和非线性偏振旋转谐振技术的自动锁模传统孤子光纤激光器。实验中通过K-means算法对电动偏振控制器进行调节,利用示波器实时采集数据,并基于脉冲判决算法将脉冲分为基频锁模态和其他状态。当泵浦驱动电流为230 mA时,实现了1 531 nm、脉宽为456 fs的基频传统孤子输出。然后,通过调节电动偏振控制器遍历激光器输出状态,并进行脉冲判决分类。最后,通过K-means算法将处于基频锁模态时电动偏振控制器旋转桨的角度按空间坐标系聚类分析。当光纤激光器处于非基频锁模态时,通过K-means算法调节电动偏振控制器,恢复到基频锁模状态。经过100次测试,从失锁或其他状态调节到基频锁模态点所需平均时间为0.25 s。该工作为实现高效、便捷的光纤激光器自动锁模提供了新的方案。

     

    Abstract:
      Objective   Ultrashort pulse laser technology develops rapidly, it has been applied in various fields, such as industrial materials processing, biomedical diagnostics, and terahertz generation. The passive mode-locked fiber lasers have the advantages of high efficiency and low cost, which are usually used to generate ultrashort pulses. The passive mode-locking technology includes many kinds of technologies, among which the nonlinear polarization rotation technology has the advantages of high damage threshold, large modulation depth and short response time, etc. However, the mode-locked fiber laser based on the nonlinear polarization rotation technology is sensitive to the polarization state of laser pulses. The K-means algorithm is a classic algorithm based on distance segmentation and clustering. It is terse and has fast convergence speed when analyzing large data sets. This paper realizes a passive mode-locked erbium-doped fiber laser with nonlinear polarization rotation technology and K-means algorithm, which can automatically find the fundamental frequency mode-locked pulse state.
      Methods   An electric polarization controller with programmable motion is used to adjust the polarization state of the pulse in a passive mode-locked erbium-doped fiber laser. First, all angles of the electric polarization controller are traversed and the output pulse data at different angles are collected simultaneously. The fundamental frequency mode-locked pulse points are obtained through the pulse decision algorithm. Then, the fundamental frequency mode-locked points are clustered and analyzed using K-means algorithm. When the pulse is out of lock or in other states, a set of rotating paddle angles is fed back to the electric polarization controller through the K-means algorithm. At last, the fundamental frequency mode-locked pulse are exported from the laser.
      Results and Discussions  By properly adjusting the manual polarization controller and the electric polarization controller, a traditional fundamental frequency mode-locked pulse (Fig.3) is obtained, when the pump current is about 230 mA. The central wavelength of the spectrum is 1 531 nm with the pulse duration and fundamental repetition frequency of 0.96 ps and 9.847 MHz, respectively. 1102 mode-locked points are obtained with the pulse decision algorithm and displayed in the three-dimensional coordinate space (Fig.4). The classification result is optimum when the K value is set as 6 using the Silhouette Coefficient method (Fig.5). Therefore, the mode-locked points are divided into 6 categories using the K-means clustering algorithm (Fig.6). After 100 tests, the fastest, slowest and average time for finding the fundamental frequency mode-locked point is 0.11 s, 0.92 s, and 0.25 s, respectively (Fig.7). A comparative test is conducted by randomly changing manual polarization controller state, in order to test the applicability of the algorithm (Fig.8).
      Conclusions   The proposed method can quickly find the fundamental frequency mode-locked pulse points in a mode-locked fiber laser based on nonlinear polarization rotation technology and K-means algorithm. The average time required to adjust from other states to the fundamental mode-locked point is 0.25 s in 100 tests. This method can rapidly realize the output of fundamental frequency mode-locked pulse, and provides a new scheme for realizing efficient and convenient automatic mode-locking of fiber laser.

     

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