Speaker Vibration Sensing for Adaptive Distortion Compensation
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Solution Overview
Problem
Existing speaker distortion compensation technologies face challenges in accurately identifying and compensating for non-linear parameters, which vary among speakers and can change over time, leading to inefficient and costly processes.
Innovation Solution
A speaker distortion compensation device that uses a sensor to detect speaker vibrations, a non-linearity compensation filter, a tunable filter, and an adaptive algorithm to identify and update transfer functions to compensate for non-linear parameters, utilizing a controller to calculate and adjust for changes in these parameters during operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a non-linear distortion compensation filter is provided to compensate for distortion due to non-linear parameters, then distortion compensation accuracy is improved, but device complexity and manufacturing cost increase due to the need for individual speaker measurement and parameter identification
Solution Approach 1:
The speaker unit performs self-diagnosis and self-identification of non-linear parameters by using its own built-in sensor to detect vibration and the controller to calculate parameters based on detected vibration characteristics. This eliminates the need for external measurement instruments and complex manufacturing processes, allowing the system to automatically determine its own non-linear parameters during normal operation.
Solution Approach 2:
The system uses feedback from the sensor that detects actual speaker vibration to continuously monitor and identify non-linear parameters. The controller compares detected vibration with expected behavior and adjusts the non-linear parameter identification accordingly, enabling dynamic adaptation to parameter changes over time and maintaining accurate distortion compensation.
2Measurement precision
If non-linear parameters are identified for each speaker using external measurement instruments, then compensation accuracy is improved, but manufacturing process complexity and time increase
Solution Approach 1:
The speaker unit autonomously identifies its own non-linear parameters during normal operation using its built-in sensor and controller, eliminating the need for external measurement instruments and complex manufacturing processes. This self-identification capability allows for rapid deployment without time-consuming measurement procedures.
Solution Approach 2:
The system performs non-linear parameter identification during the initial operation phase or setup period, before full deployment. The controller calculates non-linear parameters based on vibration detected during this preliminary phase, so that accurate compensation is ready for normal operation without requiring separate manufacturing measurement steps.
3Measurement precision
If a non-linear distortion compensation filter is used, then distortion compensation is improved, but the system cannot adapt to parameter changes over time such as temperature influence
Solution Approach 1:
The sensor continuously detects speaker vibration during operation, and the controller uses this feedback to monitor changes in non-linear parameters caused by temperature or other environmental factors. When parameter changes are detected, the system automatically updates the non-linear parameter identification to maintain accurate distortion compensation under varying conditions.
Solution Approach 2:
The system transitions from static non-linear parameter identification to dynamic adaptation. The controller continuously or periodically updates non-linear parameters based on real-time vibration detection, allowing the distortion compensation filter to adapt to changing operating conditions such as temperature variations, aging, or usage patterns.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and stable compensation for speaker distortion due to non-linear parameters, even after use, without requiring external measurement instruments and adapting to parameter changes over time.
Implementation Method 1
a sensor configured to detect the vibration of a vibration system included in the speaker
Data Source
AI summary
A speaker has a magnetic angle sensor that detects the displacement of the vibration system of the speaker. A non-linearity compensation filter compensates for output distortion due to a non-linear parameter of the speaker. A transfer function of a linear inverse filter is applied so that output distortion is eliminated from the displacement, detected by the magnetic angle sensor, of the vibration system. A controller drives the speaker by using a test signal, and measures a response from the detected displacement of the vibration system. If error between the measured response and the theoretical value, theoretically determined from the design specifications, of the response is small, the controller uses the theoretical value, theoretically determined from the design specifications, of the non-linear parameter as an active non-linear parameter and sets, in the non-linearity compensation filter, a transfer function that compensates for distortion in an output due to the active non-linear parameter.