Analog Nonlinear Filtering for Real-Time Impulsive Noise Mitigation
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Solution Overview
Problem
Current methods for mitigating non-Gaussian noise, such as impulsive noise, in communication and data acquisition systems are ineffective as they often require digital nonlinear filtering after analog-to-digital conversion, which reduces signal bandwidth and is computationally intensive, and cannot handle real-time processing due to increased memory and DSP requirements.
Innovation Solution
Incorporating intermittently nonlinear analog filters before the analog-to-digital converter (ADC) to filter out non-Gaussian noise, allowing for real-time processing and maintaining signal bandwidth while avoiding the detrimental effects of traditional nonlinear filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital nonlinear filtering is used after analog-to-digital conversion to mitigate non-Gaussian noise, then noise reduction effectiveness is improved, but signal bandwidth is reduced and computational complexity increases
Solution Approach 1:
The patent replaces digital nonlinear filtering (computational system) with analog nonlinear filtering (electrical system). The analog filter circuit processes the noisy signal in the analog domain before ADC, eliminating the need for computationally intensive digital nonlinear filtering while maintaining noise mitigation effectiveness.
Solution Approach 2:
The patent applies nonlinear filtering in advance (before ADC) rather than after conversion. By filtering the analog signal beforehand, the system removes non-Gaussian noise components before they enter the digital processing chain, preventing bandwidth reduction and computational overhead associated with post-conversion filtering.
2Reliability
If digital nonlinear filtering is applied after analog-to-digital conversion, then non-Gaussian noise is reduced, but real-time processing capability is lost due to memory and DSP requirements
Solution Approach 1:
The patent substitutes digital signal processing operations with analog circuit operations. The analog nonlinear filter continuously processes the input signal in real-time using electrical components, eliminating memory access and complex DSP computations that limit real-time processing speed.
3Reliability
If traditional nonlinear filtering is used, then non-Gaussian noise is mitigated, but signal bandwidth is reduced
Solution Approach 1:
The patent implements filtering that acts locally on non-Gaussian noise components without affecting the overall signal bandwidth. The analog nonlinear filter selectively targets impulsive noise events while preserving the spectral content and bandwidth of the desired signal through its localized response to outliers.
Data Source
AI summary
Method and apparatus for nonlinear signal processing include mitigation of outlier noise in the process of analog-to-digital conversion and adaptive real-time signal conditioning, processing, analysis, quantification, comparison, and control. Methods, processes and apparatus for real-time measuring and analysis of variables include statistical analysis and generic measurement systems and processes which are not specially adapted for any specific variables, or to one particular environment. Methods and corresponding apparatus for mitigation of electromagnetic interference, for improving properties of electronic devices, and for improving and/or enabling coexistence of a plurality of electronic devices include post-processing analysis of measured variables and post-processing statistical analysis. Methods, processes and apparatus for secure communications include low-power communications and physical-layer steganography.