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Real-time Tuning of Cavity Filters by Learning from Human Experience: A Vector Field Approach

机译:通过从人类体验中学习腔滤波器的实时调整:矢量场方法

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The technique of tuning a cavity filter is purely a rule of thumb: only experienced tuning engineer is competent to the task. However, with the great development of the communication industry and the rapid increasing of production capacity, the need for tuning technicians becomes urgent. It is meaningful to replace this traditional manual tuning task with some more advanced and automatic methods. We hereby propose a real-time computer-aided tuning method based on the vector field approximating approach, which can be applied in robotic tuning systems in the near future. In this paper, we first make a literature review on some previous intelligent cavity filter tuning solutions. Then the method of employing vector fields to represent the change of S-parameters is proposed. We provide concrete procedures to drive the S-parameters curves to approximate towards the target. In the end, we give the experimental results which validate the flexibility of the method.
机译:调整腔滤波器的技术纯粹是经验丰富的规则:只有经验丰富的调音工程师都能称为任务。然而,随着通信行业的巨大发展和生产能力的快速增长,需要调整技术人员的需求变得紧迫。用一些更先进和自动的方法替换这种传统的手动调整任务是有意义的。我们在此提出了一种基于矢量字段近似方法的实时计算机辅助调谐方法,其可以在不久的将来应用于机器人调谐系统。在本文中,我们首先对一些以前的智能腔滤波器调整解决方案进行了文献综述。然后,提出了使用矢量字段来表示S参数的变化的方法。我们提供具体的程序来驱动S参数曲线以达到目标。最后,我们给出了验证方法的灵活性的实验结果。

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