Microphone Sensitivity Equalization Using Equivalent Circuit Models
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Solution Overview
Problem
Current sound receiving system designs face challenges in accurately characterizing the sensitivity performance of microphone units with unknown internal parameters, leading to potential distortion and increased development costs due to the need for continuous testing and verification.
Innovation Solution
An equalization pre-processing method and system that utilize an equivalent circuit model based on known internal structure parameters to analyze and simulate the performance of unknown sound receptor units, allowing for sensitivity response equalization and compensation to characterize the sound receiving system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous testing and verification on different product types is conducted to characterize sound receiving performance, then measurement precision is improved, but loss of time and productivity deteriorate
Solution Approach 1:
The patent establishes equivalent circuit models and performs sensitivity response equalization calculations in advance, before actual product testing. By pre-characterizing the sound receiving performance using known internal parameters and equivalent circuit analysis, the system eliminates the need for extensive trial-and-error testing during product development, thus resolving the contradiction between measurement precision and development time
Solution Approach 2:
The patent creates virtual copies of the sound receiving system through equivalent circuit models that replicate the electrical and acoustic behavior of the physical microphone unit. These model copies allow for repeated testing and verification without requiring physical prototypes, enabling precise sensitivity characterization while dramatically reducing development time and material consumption
2Measurement precision
If continuous testing and verification on different product types is conducted to characterize sound receiving performance, then measurement precision is improved, but productivity deteriorates
Solution Approach 1:
The patent performs sensitivity response equalization and performance characterization in advance using equivalent circuit models and known internal parameters. This preliminary analysis provides design guidance before mass production or mold development, eliminating the need for continuous testing during product development cycles, thus improving both measurement precision and development productivity
Solution Approach 2:
The patent replaces physical testing and measurement systems with computational equivalent circuit models. By substituting mechanical/electrical testing apparatus with software-based simulation and calculation systems, the patent achieves precise sensitivity characterization while dramatically improving development efficiency and reducing resource consumption
3Ease of manufacture
If internal structure parameters of microphone unit are unknown, then ease of manufacture is improved, but measurement precision and device complexity worsen
Solution Approach 1:
The patent introduces equivalent circuit models as intermediary representations that bridge the gap between unknown internal parameters and measurable sensitivity response. By using these model intermediaries, the system can characterize performance without requiring direct knowledge of internal microphone structures, thus maintaining ease of manufacture while achieving measurement precision
Solution Approach 2:
The patent transforms the problem from directly measuring unknown internal parameters to measuring accessible sensitivity response parameters and back-calculating internal characteristics through equivalent circuit analysis. This parameter transformation approach enables precise characterization of sound receiving performance while maintaining manufacturing simplicity, as the method works with externally measurable parameters rather than requiring internal structure disclosure
Data Source
AI summary
An exemplary embodiment illustrates an equalization pre-processing method, adapted for characterizing a second sound receptor unit in a sound receiving system based on knowing the internal structure parameters of a first sound receptor unit. The method includes: measuring a first sensitivity response of the first sound receptor unit and a second sensitivity response of the second sound receptor unit; equalizing the second sensitivity response according to the first sensitivity response and obtaining the differences in the sensitivity response; conducting simulation to obtain the third sensitivity response associated with the first sound receptor unit in the given sound receiving system; compensating the third sensitivity response to generate the fourth sensitivity response associated with the second sound receptor unit in the sound receiving system according to the differences in the sensitivity response; analyzing the fourth sensitivity response to characterize the second sound receptor unit in the given sound receiving system.