Signal Source Estimation via Covariance Matrix Optimization
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Solution Overview
Problem
Existing signal source position estimation technologies face limitations in resolution when signal sources are close, leading to inaccurate angle of arrival and position estimation, especially with low SNR or fewer samples, and increasing the number of antennas or aperture size increases system costs.
Innovation Solution
A signal source estimation method and apparatus that selects optimal receivers based on reception signal vectors and covariance matrices to maximize the rank of steering matrices, allowing for improved detection of signal sources, angles of arrival, and position estimation by vectorizing signals and classifying eigenvalues to select appropriate covariance matrices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of antennas or aperture size is increased to improve resolution, then signal source detection and angle of arrival estimation performance is improved, but system cost increases
Solution Approach 1:
The patent extracts and utilizes the covariance matrix from received signals to obtain signal subspace information. By performing eigenvalue decomposition on the covariance matrix, the system can identify signal sources and estimate angles of arrival without requiring additional physical antennas, thus improving measurement precision while avoiding increased device complexity and system cost
Solution Approach 2:
The patent replaces the mechanical approach of adding more physical antennas with a mathematical signal processing approach using covariance matrix analysis and eigenvalue decomposition. This substitution allows the system to achieve better signal source detection and angle estimation performance through computational methods rather than physical expansion, thereby avoiding increased system cost
2Measurement precision
If the number of antennas or aperture size is increased to improve resolution, then angle of arrival estimation accuracy is improved, but system cost increases
Solution Approach 1:
The patent extracts angle of arrival information by analyzing the signal subspace obtained from covariance matrix eigenvalue decomposition. The eigenvectors corresponding to signal eigenvalues provide directional information, enabling accurate angle estimation without requiring additional antennas or increasing aperture size, thus improving accuracy while maintaining system cost efficiency
Solution Approach 2:
The patent substitutes the mechanical solution of increasing antenna count or aperture dimensions with a mathematical approach using subspace analysis. By decomposing the covariance matrix and analyzing signal subspace eigenvectors, the system achieves improved angle of arrival estimation accuracy through signal processing rather than physical system expansion
Data Source
AI summary
Disclosed is a signal source estimation method and apparatus performing the same, the signal source estimation method including acquiring first reception signals received by first receivers, among signals radiated from signal sources, selecting second receivers receiving reception signals to be used to estimate the signal sources, from among the first receivers based on the first reception signals, and detecting the number of signal sources based on second reception signals received by the second receivers.