Parasitic Signal Detection via Signal Subtraction
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Solution Overview
Problem
Existing methods for identifying and filtering parasitic signals in modulated digital signals are limited, particularly for signals outside the frequency band of regular carrier frequencies, and are mainly applicable to linear digital modulation methods, leading to incomplete spectrum analysis and identification of parasitic signals.
Innovation Solution
A method that reconstructs transmitted modulated digital signals at the receiver end without prior filtering, allowing for the estimation of parasitic signals by subtracting the reconstructed signals from received signals, enabling identification of parasitic signals across all frequency bands and applicable to both linear and non-linear digital modulation methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional filtering methods are used to identify parasitic signals, then signals within the frequency band can be analyzed, but parasitic signals outside the frequency band cannot be detected
Solution Approach 1:
The patent extracts parasitic signals by subtracting the reconstructed transmitted signal from the received signal. This extraction method removes the need for frequency band filtering, allowing detection of parasitic signals across all frequency bands including those outside the regular carrier frequency band.
Solution Approach 2:
Instead of filtering the received signal to isolate parasitic components, the patent inverts the approach by reconstructing the transmitted signal and subtracting it from the received signal. This inversion enables detection of parasitic signals that were previously invisible to traditional filtering methods.
2Ease of operation
If filtering is applied at the receiver end, then signal processing is simplified, but parasitic signal estimation is influenced by filtering effects
Solution Approach 1:
The patent performs preliminary reconstruction of the transmitted signal using detected digital data and modulation information before subtraction. This preliminary action allows accurate parasitic signal estimation without requiring subsequent filtering that would distort the estimation.
3Adaptability or versatility
If conventional demodulation methods are used, then linear modulation signals can be processed, but non-linear modulation methods cannot be handled
Solution Approach 1:
The patent creates a universal parasitic signal detection method that works with both linear and non-linear modulation schemes. By using the detected digital data and modulation information to reconstruct the transmitted signal, the method adapts to different modulation types without requiring separate processing paths.
Data Source
AI summary
A method for deriving interference signals from modulated, digital signals is provided. The receiver end reconstructs the modulated digital signals sent by a transmitter. These reconstructed modulated digital signals are then subtracted from the received modulated digital signals, and the result of the subtraction is used to estimate the interference signals without influence by prior filtering at the receiver end. By way of example, it is possible to demodulate the interference signals estimated at the receiver end in order to ascertain possible unauthorized carrier frequencies which disturb the regular carrier frequencies, even if the interference signals are not completely in the bandwidth of the regular carrier frequency or carrier frequencies.