Method for Extracting Coupling Parameters of Microwave Filters

Abstract

The invention discloses a coupling parameter extraction method of a microwave filter, which mainly solves the problem of low precision caused by not processing noise when extracting parameters of a microwave filter in the prior art. The realization process is as follows: 1) Obtain the S parameter value of the microwave filter with noise according to the actual measurement or simulation; 2) Remove the influence of the noise on the S parameter response of the filter, and then accurately extract the characteristic polynomial of the microwave filter; 3 ) use the characteristic polynomial to synthesize the transverse coupling matrix of the microwave filter, 4) use the eigenvalue-based Gauss-Newton gradient optimization method to convert the transverse coupling matrix into a microwave filter coupling matrix that can be represented by the physical structure, and complete the microwave filter coupling Extraction of parameters. The invention overcomes the influence of noise on the extraction of filter parameters, can extract the coupling matrix of the filter more accurately, and can be used for fast design and later debugging of the filter.

Description

technical field [0001] The invention belongs to the field of microwave technology, in particular to a method for extracting coupling parameters, which can be used for rapid design of microwave filters. Background technique [0002] Microwave filters are essential frequency selection devices for communication systems, and are widely used in wireless communication base stations and satellite communication systems. Due to the increasing shortage of spectrum resources, high-performance microwave filters can efficiently use frequency resources. In practical applications, filters with cross-coupling structures are often designed to improve selectivity. An effective way to improve the design efficiency is: in the design process, use the available scattering parameter data to extract the filter characteristic polynomial, and then apply the comprehensive method to derive the normalized coupling matrix of the corresponding topology, by comparing with the ideal response , to guide the...

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Problems solved by technology

[0003] Extracting the coupling parameters from the response data curve of the microwave filter has always been the focus of people's attention. The existing parameter extraction methods mainly include the nonlinear gradient optimization method based on the S parameter value and the Cauchy method, but in these two types of methods Since there is no mention of how to eliminate the influence of noise, the existence of noise makes people have a large deviation when fitting the rational characteristic function of the filter response, completely deviates from the response characteristic curve of the filter, and reduces the filter parameter extraction. accuracy, and a large amount of redundant data is required to fit a rational characteristic function during the fitting process, which takes up a large amount of computing resources

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