CN-121980779-A - Electromagnetic simulation parameter adjustment method

CN121980779ACN 121980779 ACN121980779 ACN 121980779ACN-121980779-A

Abstract

The invention provides a parameter adjustment method for electromagnetic simulation, which comprises the steps of analyzing curve data of a time domain reflectometer, dividing the curve data into a plurality of performance stages, extracting performance indexes from each performance stage, establishing a correlation model between the performance indexes, wherein the performance indexes at least comprise impedance, and adjusting electromagnetic simulation parameters according to the correlation model and the mapping relation between the performance indexes and the electromagnetic simulation parameters. According to the method and the device, the time domain reflectometer curve data are analyzed, the electromagnetic simulation parameters are adjusted according to the performance indexes after the performance stage is obtained through automatic division, so that full-automatic electromagnetic simulation parameter optimization is realized, and the simulation design efficiency is improved.

Inventors

WANG JIDONG
CHEN LONG
LI LINKE
WU TIANSHU
YANG XIANWEN
ZHANG JIAN

Assignees

武汉联特科技股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260109

Claims (10)

1. A method for adjusting parameters of electromagnetic simulation, comprising: analyzing curve data of the time domain reflectometer, and dividing the curve data into a plurality of performance stages; Extracting performance indexes from each performance stage, and establishing a correlation model between the performance indexes, wherein the performance indexes at least comprise impedance; And adjusting the electromagnetic simulation parameters according to the association model and the mapping relation between the performance indexes and the electromagnetic simulation parameters.
2. The method of claim 1, wherein the analyzing the curve data of the time domain reflectometer, dividing into a plurality of performance phases, comprises: calculating a second derivative of the curve data, and identifying a stable region of which the absolute value of the second derivative is lower than a preset threshold value; and determining the start-stop time of a plurality of performance stages according to the boundary of the stable region.
3. The method of claim 1, wherein the extracting performance metrics from each of the performance stages creates a correlation model between performance metrics, comprising: determining that the correlated performance phase combination exists according to the corresponding relation between the performance phase and the physical structure of the electromagnetic simulation circuit; and establishing a correlation model among the performance indexes aiming at each performance stage combination, wherein the correlation model can output the correlation performance indexes of the other performance stage according to the fluctuation of the reference performance indexes according to the reference performance indexes of at least one performance stage.
4. A method according to claim 3, wherein said establishing a correlation model between performance metrics for each performance stage combination comprises Constructing a correlation model sample set according to historical curve data of electromagnetic simulation, wherein the correlation model sample set comprises a reference performance index sample and a correlation performance index sample; and training to obtain a correlation model by using the correlation model sample set.
5. A method according to claim 3, wherein said adjusting the electromagnetic simulation parameters according to the correlation model and the mapping relationship between the performance index and the electromagnetic simulation parameters comprises: According to the reference performance index, adjusting the reference electromagnetic simulation parameters of the first performance stage so that the reference performance index is in a first preset interval; According to the correlation model and the adjusted reference electromagnetic simulation parameters, adjusting the correlation electromagnetic simulation parameters of the second performance stage so as to enable the correlation performance index to be in a second preset interval; And judging a parameter adjustment result according to curve data of the time domain reflectometer after electromagnetic simulation parameters are adjusted.
6. The method of claim 5, wherein determining the parameter adjustment result based on curve data of the time domain reflectometer after adjusting the electromagnetic simulation parameter, comprises: performing electromagnetic simulation according to the adjusted reference electromagnetic simulation parameters and the adjusted related electromagnetic simulation parameters to obtain the curve data; Judging whether the performance index of each performance stage is in a preset interval or not; if yes, finishing the adjustment of electromagnetic simulation parameters; And if not, re-executing the curve data of the analysis time domain reflectometer, and dividing the curve data into a plurality of performance stages.
7. The method of claim 1, wherein said adjusting the electromagnetic simulation parameters according to the correlation model and the mapping relationship between the performance index and the electromagnetic simulation parameters, previously comprises: identifying an electromagnetic simulation parameter set affecting performance indexes of corresponding performance stages according to the physical structure of the electromagnetic simulation circuit; and establishing a mapping relation between the electromagnetic simulation parameter set and the performance index of each performance stage by utilizing polynomial regression.
8. A parameter tuning system for electromagnetic simulation, which is capable of being used to implement the method according to any one of claims 1 to 7, comprising: the phase dividing module is used for analyzing curve data of the time domain reflectometer and dividing the curve data into a plurality of performance phases; the performance indexes are extracted from each performance stage, and a correlation model between the performance indexes is established, wherein the performance indexes at least comprise impedance; And the relation modeling module is used for adjusting the electromagnetic simulation parameters according to the association model and the mapping relation between the performance indexes and the electromagnetic simulation parameters.
9. An electronic device, comprising: One or more processors; storage means for storing one or more programs, Wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to perform the method of any of claims 1-7.
10. A computer readable storage medium having stored thereon executable instructions which, when executed by a processor, cause the processor to perform the method according to any of claims 1-7.

Description

Electromagnetic simulation parameter adjustment method Technical Field The present disclosure relates to the field of electronic design automation technology, and more particularly, to a parameter adjustment method for electromagnetic simulation. Background With the increasing frequency of circuit designs, the more important is the simulation and optimization of signal integrity, HFSS (High Frequency Structure Simulator, high-frequency structure simulator) is widely used as industry standard simulation software. Analysis and optimization of TDR (Time Domain Reflectometry ) curves is critical in analysis of signal integrity. The traditional simulation flow has the following problems that manual operation is complicated, a user needs to manually set parameters, simulation and analysis results are operated, efficiency is low, parameter optimization is difficult, a systematic parameter adjustment strategy is lacked, experience of engineers is excessively relied on, model corresponding relation and index judgment in result analysis are subjective and TDR curve analysis are manually judged, iteration period is long, next optimization direction needs to be confirmed through re-simulation after parameter adjustment, and closed loop optimization cannot be realized rapidly. Disclosure of Invention In view of the above, the present disclosure provides a parameter adjustment method for electromagnetic simulation of full-automatic parameter scanning, TDR curve intelligent analysis, multi-stage index extraction and parameter optimization. The invention provides a parameter adjustment method for electromagnetic simulation, which comprises the steps of analyzing curve data of a time domain reflectometer, dividing the curve data into a plurality of performance stages, extracting performance indexes from each performance stage, establishing a correlation model between the performance indexes, wherein the performance indexes at least comprise impedance, and adjusting the electromagnetic simulation parameters according to the correlation model and the mapping relation between the performance indexes and the electromagnetic simulation parameters. According to the embodiment of the disclosure, the analysis of curve data of the time domain reflectometer is divided into a plurality of performance stages, and the analysis comprises the steps of calculating second derivatives of the curve data, identifying a stable region with the absolute value of the second derivatives lower than a preset threshold value, and determining start and stop time of the plurality of performance stages according to the boundary of the stable region. According to the embodiment of the disclosure, performance indexes are extracted from each performance stage, a correlation model between the performance indexes is built, the correlation model comprises the steps of determining that a correlated performance stage combination exists according to the corresponding relation between the performance stages and the physical structure of an electromagnetic simulation circuit, building a correlation model between the performance indexes according to each performance stage combination, and outputting the correlation performance indexes of another performance stage according to the fluctuation of the reference performance indexes according to the reference performance indexes of at least one performance stage. According to the embodiment of the disclosure, for each performance stage combination, a correlation model between performance indexes is established, wherein the correlation model sample set is constructed according to historical curve data of electromagnetic simulation and comprises a reference performance index sample and a correlation performance index sample, and a correlation model is obtained through training by using the correlation model sample set. According to the embodiment of the disclosure, the electromagnetic simulation parameters are adjusted according to the association model and the mapping relation between the performance indexes and the electromagnetic simulation parameters, wherein the electromagnetic simulation parameters comprise adjusting the reference electromagnetic simulation parameters of a first performance stage according to the reference performance indexes so that the reference performance indexes are in a first preset interval, adjusting the associated electromagnetic simulation parameters of a second performance stage according to the association model and the adjusted reference electromagnetic simulation parameters so that the associated performance indexes are in a second preset interval, and judging parameter adjustment results according to curve data of a time domain reflectometer after the electromagnetic simulation parameters are adjusted. According to the embodiment of the disclosure, a parameter adjustment result is determined according to curve data of the time domain reflectometer after electromagnetic simulation param