Analog Circuit Migration Optimization via DC Path Segmentation
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Solution Overview
Problem
Current methods for analog circuit migration are inefficient due to high computational complexity and reliance on designer experience, especially as the scale and integration level of integrated circuits increase, leading to prolonged design periods and increased costs.
Innovation Solution
A circuit optimization method that divides the source circuit into direct current paths, determines an adaptation sequence, and optimizes each path individually, using a circuit optimization apparatus with simulation units, adaptation sequence determination, parameter setting, and optimization control to match the target circuit's performance with the source circuit's.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the scale and integration level of integrated circuits are increased, then the functionality and performance of the circuit are improved, but the computational complexity and design difficulty increase significantly
Solution Approach 1:
The patent divides the circuit optimization process into multiple independent direct current paths. Each path is optimized separately using its own parameter set, transforming the complex global optimization problem into multiple simpler sub-problems. This segmentation reduces computational complexity while maintaining the overall circuit functionality.
Solution Approach 2:
The patent performs preliminary analysis to determine the adaptation sequence of direct current paths before optimization begins. By pre-establishing the optimization order based on circuit characteristics, the method avoids unnecessary computational trials and directly guides the optimization process, reducing overall computational complexity.
2Ease of operation
If manual parameter setting based on designer experience is used, then the optimization process is simple to implement, but the design efficiency is low and cannot keep up with increased circuit scale
Solution Approach 1:
The patent implements an automated optimization system that performs parameter optimization without requiring extensive designer experience. The system automatically determines parameter values for each direct current path based on predefined models and adaptation sequences, enabling the circuit to optimize itself while maintaining ease of operation through automated processes.
3Extent of automation
If random parameter setting with global optimization algorithms is used, then the optimization process is automated, but the computational complexity is too large for practical use
Solution Approach 1:
The patent segments the global optimization problem into multiple independent path-level optimization problems. Each direct current path is optimized separately with its own parameter set, transforming the exponentially complex global optimization into a series of linear or simple non-linear optimizations, making automation practical.
Solution Approach 2:
The patent optimizes only the necessary parameters for each direct current path rather than all possible parameters simultaneously. By focusing optimization efforts on critical path parameters and using adaptive sequences, the method achieves sufficient automation with reduced computational complexity.
4Manufacturing precision
If multiple parameters are scanned sequentially with manual selection, then the optimization is more systematic, but the design time increases significantly
Solution Approach 1:
The patent performs preliminary analysis to determine the adaptation sequence of direct current paths and identifies critical parameters for optimization. This pre-planning eliminates the need for time-consuming manual parameter selection during the optimization process, reducing design time while maintaining systematic precision.
Solution Approach 2:
The patent implements continuous optimization where parameter adjustments are made iteratively based on circuit performance feedback. The adaptation sequence ensures that parameters are optimized in a continuous, efficient manner rather than through discrete manual scanning, maintaining precision while reducing overall design time.
Data Source
AI summary
A circuit optimization apparatus and a circuit optimization method used in analog circuit migration which migrates a source circuit to a target circuit are disclosed. The circuit optimization method comprises: dividing the source circuit into at least one direct current path; determining an adaptation sequence of the at least one direct current path; and optimizing the at least one direct current path in the target circuit one by one in the adaptation sequence. The circuit optimization apparatus and the circuit optimization method improve an optimization efficiency of the analog circuit migration.