Microwave cavity filter intelligent debugging method based on particle swarm optimization algorithm

Abstract

The invention provides a microwave cavity filter intelligent debugging method based on a particle swarm optimization algorithm, and the method comprises the steps: firstly, randomly changing the length D of each coupling screw in an electromagnetic simulation model of a microwave cavity filter into a cavity, obtaining a corresponding dissipation parameter S, and constructing an original sample data set; secondly, preprocessing the data in the sample data set; based on a block modeling method and a BP neural network, performing training to obtain an electromechanical characteristic model of themicrowave cavity filter; and finally, based on the electromechanical characteristic model and a particle swarm optimization algorithm, debugging the microwave cavity filter to be adjusted. The adjustment amount of each coupling screw is determined through a particle swarm optimization algorithm, so that the value of the value function is continuously reduced until the output of the microwave cavity filter meets the preset performance index, and the debugging process of the microwave cavity filter is completed. The debugging method has the beneficial effects that the debugging difficulty is reduced, the debugging precision and the debugging speed are improved, and the practicability and the applicability are high.

Description

technical field [0001] The invention relates to the technical field of filter debugging, in particular to an intelligent debugging method for a microwave cavity filter based on a particle swarm optimization algorithm. Background technique [0002] With the rapid development of the information industry, wireless communication technology has become one of the hottest technologies in the 21st century, and microwave cavity filters, as key frequency selection devices in wireless communication systems, have received extensive attention. Due to theoretical errors in the theoretical design process of microwave cavity filters, tolerances in the manufacturing process, and differences in the characteristics and thickness of metal coatings, microwave cavity filters that have been mass-produced and processed cannot meet the factory indicators. The debugging process of the device is essential. For a long time, the debugging of microwave cavity filters has been done manually by experience...

AI Technical Summary

Problems solved by technology

However, the performance requirements of microwave cavity filters are increasing day by day, the structure is becoming more and more complex, and the accurate extraction of the coupling matrix is ​​becoming increasingly difficult

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