RFI Mitigator Circuit with Adaptive Multi-Moment Filtering
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Solution Overview
Problem
Wireless receivers face significant performance degradation due to radio frequency interference (RFI) from multiple sources, which is challenging to filter effectively, especially in highly integrated host systems supporting high data rates and smaller form factors, as RFI sources generate non-stationary, non-Gaussian interference with varying dynamics.
Innovation Solution
An RFI mitigator system that employs model detection, adaptive filtering, and multi-moment nonlinear filtering to accurately characterize and mitigate RFI, using a combination of statistical models and parametric adaptation to dynamically adjust filtering algorithms and parameters based on observed interference patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional filtering methods are used to handle white Gaussian noise, then the receiver is optimized for desired information signal, but performance degrades considerably when mixed with radio frequency interference
Solution Approach 1:
The patent changes the statistical parameters used for filtering from assuming only white Gaussian noise to incorporating multi-moment statistics that account for non-Gaussian RFI characteristics. The filter adapts its parameters based on detected interference patterns, transforming the filtering approach to handle both noise and interference effectively
Solution Approach 2:
The system implements feedback through moment detection that continuously monitors the received signal statistics. Based on this feedback, the filter dynamically adjusts its parameters and structure to adapt to changing interference conditions, improving reliability under varying RFI scenarios
2Object-affected harmful factors
If the system uses complex adaptive filtering algorithms to mitigate RFI, then interference mitigation performance improves, but device complexity increases
Solution Approach 1:
The patent segments the filtering process into distinct moments (first moment for mean estimation, second moment for covariance, fourth moment for kurtosis). Each moment is processed separately through dedicated filtering stages, making the complex adaptive filtering more manageable and implementable while maintaining effective RFI mitigation
Solution Approach 2:
The system employs dynamic adaptation where the filter structure and parameters change based on the detected interference characteristics. The moment-based adaptive filtering dynamically adjusts its behavior to match the actual RFI conditions, achieving high mitigation performance without requiring a permanently complex fixed structure
Data Source
AI summary
Effective radio frequency interference (RFI) mitigation techniques are disclosed for use in wireless communication devices, among others. An RFI mitigation circuit may include a selector circuit to select between a cleaned signal and a clipped signal, and provide the selected signal as an output signal. The RFI mitigation circuit may also include a classifier circuit to generate a control input indication to the selector circuit to have the cleaned signal selected as the output signal based at least on a front-end circuit signal indicating that the front-end circuit is operating linearly and also indicating that the front-end circuit signal includes an interference signal. The classifier circuit may also generate the control input indication to have the clipped signal selected as the output signal based at least on the front-end circuit signal indicating that the front-end circuit is not operating linearly.