Predictive Active Noise Cancellation for Window-Mounted Transducers
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Solution Overview
Problem
Current active noise cancellation (ANC) systems, particularly window-mounted devices, are ineffective in canceling static noise signals and unable to handle dynamic noise signals due to their inability to track and predict these quickly varying noise patterns.
Innovation Solution
An indoor ANC system that combines conventional ANC technology with predictive techniques, using transducers mounted on surfaces like windows or walls to generate destructive interference signals by processing audio signals from exterior microphones and converting them into mechanical vibrations to counteract noise, while also employing feedback mechanisms to adjust for residual noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional ANC technology is used with window-mounted transducers, then static noise signals can be canceled, but dynamic noise signals cannot be effectively canceled due to tracking and prediction limitations
Solution Approach 1:
The patent applies preliminary action by using prediction algorithms to anticipate future noise signals before they occur. The system models dynamic noise characteristics and generates predictive anti-noise signals in advance, allowing the transducer to cancel dynamic noise effectively. This resolves the contradiction by enabling the system to handle dynamic noise signals that conventional reactive ANC cannot track and cancel.
2Object-affected harmful factors
If window vibrations are used to counteract noise, then noise cancellation is achieved, but the system cannot handle quickly varying dynamic noise signals
Solution Approach 1:
The system performs preliminary action by predicting future noise signals using modeling algorithms before the actual noise occurs. This allows the transducer to generate anti-noise signals proactively rather than reactively, achieving fast response to dynamic noise without being limited by the physical response time of window vibrations.
Solution Approach 2:
The patent incorporates feedback mechanisms where microphones inside the defined space detect residual noise, and this information feeds back to the signal processor to adjust and refine the anti-noise signal generation. This closed-loop feedback system continuously optimizes the cancellation performance for both static and dynamic noise signals.
3Object-affected harmful factors
If transducers are mounted on surfaces like windows or walls, then noise coupling capability is improved, but the system lacks predictive capability for dynamic noise patterns
Solution Approach 1:
The signal processor implements preliminary action by creating predictive models of dynamic noise signals based on historical data and current measurements. These models anticipate future noise patterns, allowing the system to generate appropriate anti-noise signals before the actual noise occurs, thus preventing information loss about future noise characteristics.
Solution Approach 2:
The patent introduces an intermediary predictive modeling layer between the noise detection and anti-noise generation processes. This intermediary component analyzes noise patterns, predicts future signals, and translates them into predictive anti-noise commands for the transducer, bridging the gap between surface-mounted transducer capability and dynamic noise handling requirement.
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
The system effectively cancels both static and dynamic noise signals by using predictive models to anticipate noise patterns and adjust anti-noise signals in real-time, significantly reducing noise levels within defined spaces.
Implementation Method 1
The transducer is configured to receive the anti-noise signal and convert the anti-noise signal into a destructive interference signal
Implementation Method 2
a coupling surface, such as a window or wall, separating the interior of the defined space from an exterior environment... the transducer may be mounted to windowpanes or walls capable of coupling noise
Implementation Method 3
Active noise cancellation (ANC) technology attempts to generate destructive interference sound waves to cancel out unwanted noise
Data Source
AI summary
Systems and methods are provided for generating destructive interference signals for use in active noise cancellation in an interior setting of an urban environment. The system employs a combination of conventional ANC and predictive state estimation to generate destruction interference sound waves using a window pane to counteract urban noises.