Multi-Band Vibration Signal Selection for Vehicle Noise Control
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Solution Overview
Problem
Existing noise reduction systems in automobiles rely on vehicle vibration signals as reference, leading to narrow and ineffective noise reduction due to the limited scope of these signals.
Innovation Solution
A noise control method that involves receiving noise and vibration signals, performing noise reduction analysis based on multiple frequency bands, determining coherent vibration signals, and generating control signals to instruct noise reduction, thereby improving noise reduction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle vibration signals are used as reference signals for noise reduction processing, then the noise reduction system can be implemented, but the reference signals become narrow and the noise reduction effect is poor
Solution Approach 1:
The patent segments the reference signal into multiple independent vibration signals from different sensors (acceleration sensors, gyro sensors, and/or gravity sensors) positioned at various locations on the vehicle. Each sensor captures local vibration characteristics, and the system selectively uses these segmented signals as reference signals based on their correlation with the noise signal, thereby expanding the overall coverage and improving noise reduction effectiveness.
Solution Approach 2:
The patent implements a multi-functional reference signal selection mechanism that can adaptively choose from multiple types of vibration signals (acceleration, gyro, gravity) depending on the noise characteristics. The system universally handles different sensor data types and selects the most appropriate reference signal for each noise frequency band, making the noise reduction system versatile and adaptable to various noise conditions.
2Adaptability or versatility
If multiple vibration signals from different sensors are used as reference signals, then the noise reduction coverage is improved, but the system complexity increases
Solution Approach 1:
The patent employs feedback mechanisms where the system continuously evaluates the correlation between each vibration signal and the noise signal, and dynamically selects the most suitable reference signal based on this feedback. The correlation calculation provides real-time feedback on signal quality, enabling the system to adaptively adjust its reference signal selection without requiring complex manual configuration or processing of all possible sensor combinations.
3Measurement precision
If coherence analysis is performed on multiple vibration signals to determine the most correlated signal, then the noise reduction accuracy is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent applies partial action by performing coherence analysis on a selective subset of vibration signals rather than processing all available signals equally. The system identifies and focuses computational resources on the most promising reference signals based on preliminary correlation assessment, performing detailed coherence analysis only on those signals that show potential for effective noise reduction, thereby reducing overall processing time while maintaining high accuracy.
Data Source
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AI summary
The present disclosure discloses a noise control method and apparatus, a system, a device, a storage medium, and a program product. The method includes: receiving a noise signal and a plurality of vibration signals of a noise reduction object; performing noise reduction analysis on the noise signal and the plurality of vibration signals based on a plurality of noise frequency bands, to determine a noise reduction signal of the noise reduction object; where the noise frequency band is a frequency band of a noise peak of the noise reduction object; and generating a control signal according to the noise reduction signal, where the control signal is used to instruct the noise reduction object to output the noise reduction signal. The method can effectively improve noise reduction effect of the noise reduction signal.