Radio frequency device debugging method, device, equipment and system and storage medium

Abstract

The invention discloses a radio frequency device debugging method, device, equipment and system and a storage medium. The method comprises the steps of acquiring device parameters of a tested machineto serve as input data of a trained machine learning network; determining debugging parameters of a debugging mechanism through the machine learning network according to the input data; and outputtingthe debugging parameters to the debugging mechanism, wherein the debugging mechanism is used for adjusting the tested machine according to the debugging parameters. The method disclosed by the invention realizes the purpose of automatic debugging, and achieves the effects of improving the production efficiency and reducing the production cost.

Description

technical field [0001] The invention relates to the field of radio frequency technology, in particular to a debugging method, device, equipment, storage medium and system of a radio frequency device. Background technique [0002] At present, the production and debugging of RF devices such as passive filters rely entirely or partially on manual debugging, which requires high debugging level for debugging technicians and difficult training, resulting in low production efficiency and high cost; the current auxiliary debugging method is through calculating filter S parameters The corresponding coupling matrix is ​​compared with the ideal coupling matrix or the ideal coupling matrix is ​​modified to obtain a model of the influence of the bolt adjustment amount on the electrical performance of the filter. However, the calculation of the coupling matrix introduces errors. This method is only suitable for laboratory samples. There are many differences between the actual mass-produce...

AI Technical Summary

Problems solved by technology

[0002] At present, the production and debugging of RF devices such as passive filters rely entirely or partially on manual debugging, which requires high debugging level for debugging technicians and difficult training, resulting in low production efficiency and high cost; the current auxiliary debugging method is through calculating filter S parameters Comparing the corresponding coupling matrix with the ideal coupling matrix or modifying the ideal coupling matrix to obtain a model of the influence of the bolt adjustment on the electrical performance of the filter

However, the calculation of the coupling matrix introduces errors. This method is only suitable for laboratory samples. There are many differences between the actual mass-produced products and the ideal design, and it is impossible to rely on the ideal coupling matrix to guide debugging.

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