Automatic debugging system and method for dielectric filter

Abstract

The invention relates to an automatic debugging system and method for a dielectric filter, relates to the field of 5G mobile communication dielectric filters, and solves the problem that due to the production characteristics and index requirements of the dielectric filter, each dielectric filter basically needs to be debugged, which is more troublesome. The method comprises: processing the targetdielectric filter through the metal layer adjusting device by an artificial intelligence device based on a metal layer data difference between metal layer information of a target dielectric filter andinitial metal layer information, and stopping processing until the S parameter data acquired by the artificial intelligence device through the S parameter testing device is consistent with the theoretical S parameter data. Through an artificial intelligence AI mode, automatic debugging of the dielectric filter is realized, the labor cost is reduced, and the productivity is improved.

Description

technical field [0001] The invention relates to the field of 5G mobile communication dielectric filters, in particular to a dielectric filter automatic debugging system and method. Background technique [0002] In the 5G mobile communication network, the 5G AAU equipment is one of the key equipment of the base station coverage network. A large number of filters are used on the AAU. At the same time, due to the rapid development of the dielectric filter technology in the past two years, and its small size , low cost advantages, make it possible to use dielectric filters in large quantities on 5GAAU equipment. [0003] In the field of traditional metal cavity filters, filter debugging is mainly to debug the tuning screw of the metal filter, which requires a lot of manual debugging. [0004] In the field of dielectric filters, the traditional tuning screw no longer exists. Instead, the filter performance index is adjusted by adjusting the metal layer on the surface of the diel...

AI Technical Summary

Problems solved by technology

[0005] Due to the huge market expectations in the 5G market, the use level of AAU will exceed 3 million in 2020, and the dielectric filter used by each AAU is between 32-64, which requires more than hundreds of millions of dielectric filters. At the same time Due to the production characteristics and index requirements of dielectric filters, each dielectric filter basically needs to be debugged, which is troublesome and there is still room for improvement.

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