Single Satellite Jammer Identification via Signal Matrix SVD
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Solution Overview
Problem
Current methods for identifying jammers in satellite communication require at least two satellites, making it difficult to detect and locate interference sources from a single satellite signal effectively.
Innovation Solution
A method that prepares a signal for jammer identification by subdividing it into equal-length signal periods, normalizing sampled values, creating two-element sample vectors, and using singular value decomposition to compare signals from satellite transmitters, allowing for jammer detection and localization from a single satellite.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional methods are used for jammer identification, then at least two satellites are required to determine the jammer, but this increases system complexity and reduces detection efficiency
Solution Approach 1:
The signal from a single satellite is segmented into multiple signal periods, and each period is further divided into sampling points. This segmentation allows the system to extract multiple features from a single satellite signal, enabling jammer identification without requiring multiple satellites. The signal matrix is constructed by organizing these segmented samples, which then undergoes singular value decomposition to identify jammer characteristics.
2Measurement precision
If signal periods are used for analysis, then periodic signal characteristics can be recognized, but the processing complexity increases
Solution Approach 1:
The patent transforms the signal representation by changing parameters: samples are normalized to a standard interval, then converted into two-element vectors with unit norm. This parameter transformation simplifies the subsequent singular value decomposition process while preserving the periodic signal characteristics needed for accurate jammer identification.
3Productivity
If quantum information theory methods are applied for signal comparison, then single-satellite jammer identification becomes possible, but the computational complexity increases
Solution Approach 1:
The patent replaces traditional multi-satellite geometric positioning methods with a signal processing approach based on quantum information theory concepts. Instead of using multiple physical satellites for triangulation, the system uses singular value decomposition of signal matrices to extract jammer characteristics, substituting a computational method for a physical configuration.
Data Source
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AI summary
The invention relates to a method for identifying interfering transmitters, wherein, for each of the present satellite transmitters, a comparison parameter is identified for the transmitter, in that the signal (S) is divided into signal periods, each of the samples (Ei) is normalized, for each of the normalized samples (pi), a sampling vector (qi) is created, the sampling vectors (qi) are entered into a signal matrix (M), the elements of the signal matrix (M) are normalized, a singular value decomposition of the signal matrix (M) is carried out, wherein M = USV† and, for preparation of the signal (S), lines of the unitary matrix (V†) identified for the signal (S) are used as a comparison parameter, wherein an interference signal is identified for determining an interfering transmitter for the signal (S), and a comparison parameter is likewise identified therefor.