Wireless Spectrum Analysis Using AF–MUSIC Power Comparison
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Solution Overview
Problem
The existing MUSIC method struggles to distinguish between actual incoming waves and false waves, especially when the number of estimated waves exceeds the actual number, leading to inaccurate power value estimation due to false waves with high power.
Innovation Solution
A spectrum analysis method combining an annihilating filter (AF) method with another frequency spectrum analysis method, such as discrete Fourier transform, to pair and compare power values, correcting the power values based on the comparison to generate accurate frequency spectrum data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the MUSIC method is used to estimate the number of incoming waves and direction of arrival, then high-resolution direction estimation is achieved, but false waves with high power appear when the number of estimated waves exceeds the actual number, making it difficult to distinguish actual waves from false waves
Solution Approach 1:
The patent combines the MUSIC method with an Annihilating Filter (AF) method to generate two different frequency spectrum data sets. By merging the strengths of both methods - MUSIC's high resolution and AF's false wave suppression - the system achieves both accurate direction estimation and reliable wave identification. The power values from both methods are compared and integrated to produce final frequency spectrum data that eliminates false waves while maintaining high resolution.
2Quantity of substance
If more waves are estimated to capture all possible incoming waves, then the probability of capturing actual waves increases, but the number of false waves with high power increases, reducing estimation accuracy
Solution Approach 1:
The patent introduces a power value comparison mechanism as an intermediary between the MUSIC method and the final frequency spectrum output. The system generates power values from both MUSIC and AF methods, then uses a comparison process to select valid power values. This intermediary step filters out false waves by comparing power values against threshold criteria, allowing the system to estimate more waves without sacrificing accuracy.
3Object-generated harmful factors
If the annihilating filter method is used to generate frequency spectrum data, then false waves are reduced, but the power value estimation accuracy deteriorates due to the nature of the AF method
Solution Approach 1:
The patent implements a feedback mechanism where power values from both MUSIC and AF methods are compared, and the better estimate is selected for each frequency component. The system uses threshold-based feedback criteria to determine whether to accept power values from MUSIC, AF, or a combination. This feedback loop ensures that false waves are suppressed while maintaining accurate power value estimation by leveraging the strengths of both methods.
Data Source
AI summary
A spectrum analysis program causing a computer system to execute: generating, using an AF method, first frequency spectrum data having continuous frequency values from a wireless signal, generating, using a frequency spectrum analysis method for outputting reference power values for the wireless signal, second frequency spectrum data having discrete frequency values from the wireless signal, pairing, with each other, frequency values that are closest among frequency values of the first frequency spectrum data and frequency values of the second frequency spectrum data, and generating, based on a comparison between a first power value at a first frequency in the first frequency spectrum data and a second power value at a second frequency corresponding to the first frequency in the second frequency spectrum data, frequency spectrum data serving as an analysis result.