RFI Detection Circuit Using Correlation Analysis
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Solution Overview
Problem
Existing receiver technologies face inaccuracies in detecting radio frequency interference (RFI) signals due to environmental noises, requiring expensive filter circuits to process frequency, phase, and amplitude information, which increases hardware costs and reduces detection accuracy.
Innovation Solution
A receiver design incorporating a first data slicer circuit and a radio interference detector circuitry that generates estimated information from processed data signals to accurately detect RFI signals, utilizing autocorrelation and correlation calculations without the need for expensive filter circuits, thereby reducing hardware costs and improving detection precision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a filter circuit (e.g., kalman filter) is used to process data signals to reduce RFI impacts, then detection accuracy may be improved, but hardware cost increases and detection accuracy is reduced due to noise impacts
Solution Approach 1:
The patent segments the detection process into multiple independent correlation calculation paths: autocorrelation of first data signal, autocorrelation of second data signal, and cross-correlation between them. Each path processes specific signal characteristics separately, allowing the system to identify RFI through pattern recognition rather than requiring complex unified filtering circuits, thereby reducing hardware cost while maintaining detection accuracy
Solution Approach 2:
The patent replaces complex mechanical/filter circuits (such as kalman filters) with signal processing operations based on autocorrelation and cross-correlation calculations. This substitution uses mathematical transformations of the existing data signals to extract RFI characteristics, eliminating the need for expensive dedicated filter hardware while achieving effective RFI detection
2Object-affected harmful factors
If a filter circuit is used to process data signals, then RFI impacts may be reduced, but detection accuracy is reduced due to impacts from other noises
Solution Approach 1:
The patent applies different processing operations to different signal characteristics: autocorrelation is applied to detect periodic patterns in the first data signal, while cross-correlation detects the relationship between first and second data signals. Each operation targets specific local characteristics of the RFI, allowing accurate detection without being misled by other types of noise that do not share these specific correlation patterns
3Difficulty of detecting and measuring
If expensive filter circuits are used to process frequency, phase, and amplitude information, then RFI detection capability may be improved, but hardware cost increases
Solution Approach 1:
The patent enables the data signals themselves to provide the detection information needed. By calculating autocorrelation and cross-correlation of the existing first and second data signals, the system extracts RFI characteristics directly from the signal content without requiring external or additional expensive measurement circuits for frequency, phase, and amplitude analysis
Solution Approach 2:
The correlation calculation operations serve multiple detection functions simultaneously: they detect RFI presence, estimate RFI frequency, and identify RFI patterns. This multi-functionality is achieved through universal signal processing operations that work on the existing data signals without requiring separate dedicated circuits for each detection task, thereby reducing overall hardware cost
Data Source
AI summary
A receiver includes a first data slicer circuit and a radio interference detector circuitry. The first data slicer circuit is configured to generate a second data signal according to a first data signal. The radio interference detector circuitry is configured to generate first estimated information according to the first data signal, to generate second estimated information according to the second data signal, to generate third estimated information according to the first data signal and the second data signal, and to detect a radio interference signal according to the first estimated information, the second estimated information, and the third estimated information.