Mobile Uplink Noise Reduction via Adaptive Filtering
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Solution Overview
Problem
Existing noise reduction systems for mobile communication devices in noisy environments, such as vehicles, are either inefficiently simple or computationally intensive, failing to effectively remove noise while maintaining voice intelligibility.
Innovation Solution
A system and method utilizing a noise estimator, an adjustable filter, and an adjustable attenuation block, which estimate noise levels and apply filtering and attenuation based on predetermined functions, specifically using shelf filtering and increasing depth or attenuation as noise levels rise, to enhance voice clarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If complex digital signal processing algorithms are used to remove noise from communication signals, then noise removal effectiveness is improved, but computational complexity and processing time increase
Solution Approach 1:
The patent segments the noise removal process into distinct functional blocks: a noise estimator that analyzes the input signal to determine noise characteristics, and a separate filter/attenuation block that applies noise reduction based on the estimated parameters. This segmentation allows each block to perform a specialized function with optimized computational requirements, avoiding the need for complex full-signal processing while achieving effective noise removal.
2Device complexity
If simple filtering methods are used to reduce noise, then computational complexity is reduced, but noise removal effectiveness and voice intelligibility deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the noise estimator continuously analyzes the input signal and provides noise characteristic information back to the filtering/attenuation block. This feedback loop allows the system to dynamically adjust filtering parameters based on actual noise conditions, achieving adaptive noise removal that maintains voice intelligibility while using computationally efficient processing rather than complex fixed algorithms.
Data Source
AI summary
A system and method for reducing uplink noise in a mobile communications device, the system including: a noise estimator for estimating noise in proximity to the mobile communication device; an adjustable filter for receiving a signal from a microphone of the mobile communication device; an adjustable attenuation block for receiving a filtered signal from the adjustable filter; a controller configured to: monitor the estimated noise; and adjust the adjustable filter and adjustable attenuation block based on the estimated noise. In particular, the controller may be configured to adjust the adjustable filter by increasing the depth of the filtering for higher estimated noise levels and adjust the attenuation by increasing the attenuation for higher estimated noise levels.