Mixed Signal Noise Reduction via Blind Source Separation
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Solution Overview
Problem
Existing signal processing methods, such as beam forming and adaptive filtering, are limited in improving the Signal-to-Noise Ratio due to the absence of effective reference signals, especially in environments with directional noise, where residual noise remains unaddressed.
Innovation Solution
A method and apparatus that separate mixed signals into a first and second signal, select one as a reference and the other as an expected signal, and perform adaptive filtering to enhance the Signal-to-Noise Ratio, even without a direct hardware reference signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If beam forming or single-channel noise reduction is used, then some noise reduction is achieved, but residual noise remains and Signal-to-Noise Ratio improvement is limited
Solution Approach 1:
The mixed signal is segmented into multiple separated signals through blind source separation, allowing the system to identify and select appropriate reference signals from the separated components. This segmentation enables more effective noise reduction by working with individual signal sources rather than treating the mixed signal as a whole.
Solution Approach 2:
The patent introduces an intermediary process of blind source separation that generates separated signals serving as potential reference signals. This intermediary step bridges the gap between the mixed signal and the adaptive filtering process, enabling the system to find suitable reference signals without direct hardware access to separate sources.
2Object-affected harmful factors
If adaptive filtering is performed, then noise reduction effectiveness improves, but it cannot be implemented because no reference signal can be obtained
Solution Approach 1:
The system performs self-service by using the mixed signal itself as the input to blind source separation, which then generates separated signals that serve as reference signals for adaptive filtering. The system doesn't require external hardware to provide reference signals; instead, it extracts them from the available mixed signal through mathematical decomposition.
Solution Approach 2:
The mixed signal serves multiple functions: it is both the signal to be processed and the source material for generating reference signals through blind source separation. This multi-functionality eliminates the need for separate reference signal inputs and enables adaptive filtering to be performed using only the mixed signal as input.
3Measurement precision
If blind source separation is performed to obtain reference signals, then adaptive filtering becomes possible, but the process complexity increases
Solution Approach 1:
The patent merges blind source separation and adaptive filtering into a unified processing framework where the output of one directly feeds the other. By combining these processes and using the separated signals from blind source separation as reference signals for adaptive filtering, the system achieves comprehensive noise reduction while managing complexity through integrated design rather than separate independent processes.
Data Source
AI summary
A method and an apparatus for reducing noise of mixed signal are disclosed. The method includes: separating a collected mixed signal to obtain a first signal and a second signal; selecting one of the first signal and the second signal as a current reference signal, and the other as a current expected signal; and performing adaptive filtering based on the selected current reference signal and the selected current expected signal. By the method and the apparatus, the noise can be reduced significantly or removed in a case where reference signal cannot be directly obtained from a hardware.