Vehicle Active Noise Cancellation with Real-Time Filter Adaptation
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Solution Overview
Problem
Existing vehicle noise reduction systems lack real-time adjustment capabilities and stability in varying driving conditions, leading to inadequate noise cancellation and reduced occupant comfort.
Innovation Solution
A signal processing method that utilizes sensors to collect noise signals at a source and near the human ear, adjusting parameters in real-time based on autocorrelation and cross-correlation matrices to dynamically generate sound waves for active noise cancellation, employing Wiener filtering and a sliding window algorithm to optimize noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a filter is used for noise reduction in a single working condition, then noise reduction effect is achieved, but real-time adjustment capability is poor and cannot adapt to unstable working conditions
Solution Approach 1:
The patent implements dynamic adaptation by continuously updating filter parameters based on real-time autocorrelation and cross-correlation calculations. The system transitions from a static single-condition filter to a dynamic multi-condition adaptive filter that automatically adjusts to changing working conditions through real-time correlation analysis of noise signals.
Solution Approach 2:
The patent changes filter parameters dynamically by calculating autocorrelation of the noise signal and cross-correlation between noise and reference signals in real-time. These correlation values are used to update filter coefficients, enabling the system to adapt to different working conditions through parameter modification rather than fixed filtering.
2Speed
If traditional active noise cancellation is used, then noise suppression is achieved, but response time is slow and noise reduction amount cannot be stabilized
Solution Approach 1:
The patent performs preliminary correlation analysis by pre-calculating autocorrelation and cross-correlation values before generating the anti-noise signal. This preliminary processing of correlation data enables faster response when noise conditions change, as the system already has correlation information ready for rapid filter parameter updates.
Solution Approach 2:
The patent implements feedback by continuously monitoring the noise signal and reference signal correlations, using this information to adjust filter parameters in real-time. The system feeds back the correlation analysis results to modify the anti-noise generation process, creating a closed-loop control that stabilizes noise reduction across varying conditions.
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
Enhances noise reduction effectiveness and stability by allowing quick adjustments to changing noise conditions, improving occupant comfort through larger noise reduction amounts and quicker response times.
Implementation Method 1
Active noise reduction generally uses an active noise cancellation (active noise cancellation, ANC) technology to generate, by using a speaker, an audio signal that suppresses a noise signal. After the noise signal meets and superimposes on the noise suppression signal, the noise signal and the noise suppression signal are neutralized to cancel each other
Implementation Method 2
receiving a first audio signal that is collected by one or more first sensors and that is at a noise source; receiving a second audio signal that is collected by one or more second sensors and that is at a human ear
Implementation Method 3
determining, based on an autocorrelation matrix of the fourth audio signal and a cross-sectional matrix of the fourth audio signal and the fifth audio signal, the parameter for processing the first audio signal
Implementation Method 4
cross-sectional matrix of the fourth audio signal and the fifth audio signal
Data Source
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AI summary
This application relates to a signal processing method and apparatus, a storage medium, and a vehicle. The method includes: receiving a first audio signal that is collected by one or more first sensors and that is at a noise source; receiving a second audio signal that is collected by one or more second sensors and that is at a human ear, where the first audio signal and the second audio signal are used to determine a parameter for processing the first audio signal in a first processing manner; and sending a third audio signal determined after the first audio signal is processed in the first processing manner, where the third audio signal indicates a speaker to emit a sound wave, and the sound wave is used to cancel noise at the human ear. In this way, a capability of adjusting a parameter in real time in a noise reduction process can be implemented, so that quick noise reduction can be implemented, a noise reduction amount is large, and a noise reduction effect is better.