Nonlinear Analog Filtering for Impulsive Noise Mitigation
Find Innovative SolutionsGenerate Solutions
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, making real-time processing challenging. Additionally, existing filters struggle with real-time implementation due to increased memory and DSP intensity.
Innovation Solution
Incorporating intermittently nonlinear analog filters before the analog-to-digital converter (ADC) to filter out impulsive noise, which behaves linearly for normal signals but nonlinearly only in response to noise outliers, thus avoiding instabilities and intermodulation distortions, and enabling real-time processing without reducing signal bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital nonlinear filtering is used after analog-to-digital conversion to mitigate impulsive noise, then noise reduction effectiveness is improved, but signal bandwidth is reduced and computational complexity increases
Solution Approach 1:
The patent applies nonlinear filtering in the analog domain before analog-to-digital conversion, performing the noise mitigation action beforehand. This preliminary nonlinear processing removes impulsive noise components from the analog signal, so that subsequent digital processing operates on already-cleaned data, reducing computational burden while maintaining noise reduction effectiveness
Solution Approach 2:
The patent replaces complex digital nonlinear filtering operations with simpler analog circuit-based nonlinear filtering. By implementing the nonlinear filtering function through analog electronics rather than digital computation, the system achieves comparable noise mitigation with significantly reduced computational complexity and memory requirements
2Reliability
If digital nonlinear filtering is applied after ADC, then impulsive noise is reduced, but real-time processing capability deteriorates due to memory and DSP intensity
Solution Approach 1:
The patent substitutes digital signal processing operations with analog circuit operations. The analog nonlinear filter processes signals in real-time using continuous voltage/current relationships, eliminating the need for memory-intensive digital algorithms and enabling real-time impulsive noise reduction without compromising processing speed
3Speed
If linear filtering is used before ADC, then signal bandwidth is preserved, but effectiveness against non-Gaussian impulsive noise is insufficient
Solution Approach 1:
The patent creates a filter with locally adaptive characteristics that behave linearly for normal signal levels (preserving bandwidth) and nonlinearly for impulsive noise levels (enhancing noise rejection). The nonlinear elements are activated only when impulsive noise exceeds certain thresholds, allowing the filter to provide targeted noise mitigation while maintaining signal bandwidth for normal operating conditions
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.