Interference Signal Detection Using Eigenvalue and SINR Analysis
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Solution Overview
Problem
Existing methods for detecting interference in received signals require precise knowledge of the receiver and are not applicable to all types of receivers, limiting their versatility and effectiveness.
Innovation Solution
A method involving the calculation of autocorrelation matrices, eigenvalues, and signal-to-interference-plus-noise ratio (SINR) estimation is used to detect the presence of interference signals in a received signal, applicable to any receiver with multiple channels, without requiring prior knowledge of the receiver's specifics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated filtering techniques are used to extract useful signals, then signal extraction capability is improved, but the method requires precise knowledge of the receiver and its operation, reducing versatility
Solution Approach 1:
The system performs self-characterization by automatically estimating receiver parameters (noise figure, bandwidth, gain) through autocorrelation analysis of received signals, eliminating the need for external calibration or precise prior knowledge of receiver specifications. This enables universal application across different receiver types while maintaining accurate interference detection.
Solution Approach 2:
The method transforms the approach from requiring fixed precise receiver parameters to dynamically estimating parameters through signal analysis. By calculating autocorrelation matrices and eigenvalues from actual received signals, the system adapts to different receiver characteristics without requiring pre-configured precise knowledge, thus resolving the contradiction between precision and versatility.
2Measurement precision
If interference detection methods requiring precise receiver knowledge are implemented, then detection accuracy is improved, but device complexity increases due to the need for detailed receiver characterization
Solution Approach 1:
The system automatically characterizes itself by extracting receiver parameters directly from received signals through autocorrelation analysis. The calculator computes autocorrelation matrices and eigenvalues to estimate noise figures, bandwidths, and gains without requiring external calibration equipment or complex pre-characterization procedures, thereby maintaining high detection accuracy while reducing overall system complexity.
Solution Approach 2:
The autocorrelation matrix serves as an intermediary that bridges the gap between received signals and receiver parameter estimation. By analyzing the eigenvalues and structure of the autocorrelation matrix, the system indirectly extracts receiver characteristics without requiring direct measurement or complex characterization equipment, thus improving detection accuracy without proportionally increasing device complexity.
Data Source
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AI summary
The invention relates to a method for detecting the possible presence of an interfering signal in a signal received by a receiving device, the received signal comprising a useful component and a non-useful component, the receiving device comprising N receiving channels and a computer, the method comprising a step of: - obtaining at least one of an autocorrelation matrix of the received signal and an autocorrelation matrix of the non-useful component, - calculating eigenvalues of the obtained matrix, - estimating the signal-to-interference-plus-noise ratio of the recombined signal, and - detecting the possible presence of an interfering signal depending on at least one of the calculated eigenvalues and the estimated signal-to-interference-plus-noise ratio.