Dynamic Acoustic Filter Adjustment for Position-Dependent Signal Quality
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Solution Overview
Problem
Portable devices such as mobile phones face challenges in maintaining consistent acoustic signal quality due to varying device positions during use, which affects the performance of speaker modules.
Innovation Solution
An apparatus comprising a filter and a detector that compares the electrical input signal to the microphone's output signal, adjusting the filter settings based on detected differences to maintain optimal frequency response and signal levels, and a sensor to monitor position changes, allowing for real-time compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the device position is varied during use, then the device can be operated in different scenarios (handsfree on table, held in hand), but the acoustic signal quality deteriorates due to altered device position characteristics
Solution Approach 1:
The filter characteristics are made dynamic by allowing real-time adjustment based on detected device position. The system transitions from static filter settings to dynamic adaptation, where the detector monitors position changes and the filter automatically adjusts its characteristics to maintain optimal acoustic signal quality across different device orientations and positions.
Solution Approach 2:
A feedback loop is established where the detector continuously monitors device position and acoustic signal characteristics, compares them against reference values, and sends control signals to adjust the filter settings. This closed-loop system ensures that the filter characteristics are continuously optimized based on actual device position, resolving the contradiction between position flexibility and signal quality consistency.
2Reliability
If dedicated software algorithms are used to adjust the acoustic signal, then sound quality can be optimized for specific applications, but the system complexity increases
Solution Approach 1:
The system implements self-service by enabling the detector and filter to automatically adjust acoustic signal characteristics without requiring complex user-configurable algorithms. The detector autonomously monitors position changes and acoustic feedback, and the filter self-adjusts its characteristics based on detected differences, eliminating the need for sophisticated dedicated software algorithms while maintaining optimized sound quality.
Solution Approach 2:
Instead of using complex software algorithms, the system achieves sound quality optimization through parameter changes in the filter characteristics. By adjusting filter parameters such as frequency response, gain, and bandwidth based on detected position and acoustic feedback, the system maintains high sound quality with simpler implementation compared to dedicated software algorithms.
3Reliability
If the filter characteristics are adjusted in real-time based on device position, then acoustic signal quality can be maintained, but the system complexity increases due to additional detector and control mechanisms
Solution Approach 1:
The detector is designed with multi-functionality, serving both position detection and acoustic feedback analysis. By combining these functions into a single component that monitors multiple parameters simultaneously, the system achieves real-time filter adjustment without proportionally increasing complexity. The same detector hardware and processing logic are used for both position monitoring and acoustic characteristic analysis, reducing overall system complexity.
Solution Approach 2:
The system merges the position detection function and acoustic feedback analysis into an integrated control mechanism. Rather than having separate independent systems for position sensing and acoustic monitoring, the detector combines both functions and feeds them into a unified filter control system. This merging reduces the number of separate components and control loops, thereby limiting the increase in system complexity while maintaining acoustic signal quality consistency.
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
Ensures consistent sound quality across different device positions by dynamically adjusting the acoustic signal, enhancing user experience and reducing potential damage from poor sound quality or frequency imbalances.
Implementation Method 1
at least one speaker module configured to convert the filtered electrical input signal to an acoustic signal
Implementation Method 2
an electrical output signal provided by at least one microphone
Data Source
AI summary
An apparatus comprising: at least one filter configured to filter an electrical input signal and provide a filtered electrical input signal to at least one speaker module configured to convert the filtered electrical input signal to an acoustic signal; and a detector configured to receive the filtered electrical input signal as a first input and an electrical output signal provided by at least one microphone as a second input; wherein the detector is configured to determine at least one difference between the electrical output signal provided by the at least one microphone and the filtered electrical input signal provided to said speaker module and, in response to the at least one difference provide a control signal to the filter to control the filter.