Circuit Simulation Optimization via S-Parameter Derivative Search
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Solution Overview
Problem
The accuracy of determining the point of the smallest possible value of the object function corresponding to the S-parameter in circuit simulation optimization is low, resulting in poor optimization effects.
Innovation Solution
The method involves acquiring initial design parameters, calculating the initial S-parameter value, judging circuit qualification, calculating the derivative of the object function when unqualified, and searching for the smallest possible value within a preset interval based on the derivative.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional simulation optimization methods are used to search for the minimum point of the object function, then the optimization process can be completed, but the searching accuracy is low and the optimization effect is poor
Solution Approach 1:
The patent transforms the original S-parameter optimization problem into a new optimization problem by applying parameter transformation. Specifically, it uses the transformation f'(x) = 1/f(x) where f(x) is the original S-parameter and f'(x) is the transformed parameter. This parameter transformation changes the characteristics of the object function, making the minimum point search more accurate and improving the overall optimization effect.
Solution Approach 2:
The patent calculates the derivative of the transformed object function to determine the gradient direction. By computing the derivative f''(x) and analyzing its sign, the method identifies the descending direction of the transformed function, which corresponds to the ascending direction of the original S-parameter. This derivative-based approach enables precise location of the minimum point with higher accuracy than traditional methods.
2Manufacturing precision
If the initial design parameters are not qualified according to design requirements, then optimization is needed, but the traditional methods lack accuracy in finding the optimal point
Solution Approach 1:
The patent performs preliminary transformation of the object function before conducting the optimization search. By pre-calculating the transformed parameter and its derivative, the method prepares the optimization landscape in advance, making the subsequent search for the minimum point more efficient and accurate. This preliminary action avoids the need for repeated trial-and-error iterations.
Solution Approach 2:
The patent replaces traditional mechanical optimization approaches with a mathematical transformation approach. Instead of using conventional iterative methods that gradually approach the minimum, the invention uses parameter transformation and derivative analysis to directly identify the optimal point, substituting the mechanical search process with a more precise mathematical method.
Data Source
AI summary
A circuit simulation optimization method, device, computer device and storage medium, wherein the circuit simulation optimization method comprises: acquiring initial design parameters of a design circuit, and calculating an initial value of an S-parameter based on the initial design parameters of the design circuit; judging whether the design circuit is qualified according to design requirements according to the initial value of the S-parameter value and a preset S-parameter threshold; when the design circuit is not qualified according to the design requirements, calculating a derivative of an object function corresponding to the S-parameter at the initial design parameters; and searching for a point of a smallest possible value of the object function corresponding to the S-parameter in a preset interval of the initial design parameters according to the derivative.