Broadband Signal Analysis Device with Parallel Sampling Channels
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Solution Overview
Problem
Current devices for analyzing broadband signals with spectral bands greater than or equal to 10 GHz face challenges in real-time processing due to performance limitations of sample-and-hold devices, leading to spectrum aliasing and ambiguity in frequency determination, making it difficult to distinguish signals effectively.
Innovation Solution
A signal analysis device with N channels, each comprising a sampling device, an analog-digital converter with a conversion frequency greater than the sampling frequency, a filter with a cut-off frequency greater than half of the largest sampling frequency, and a computer for analyzing the output signal, allowing for faster characterization of broadband signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a wideband sample-and-hold circuit operates at a given sampling frequency to meet the Shannon criterion, then spectral aliasing is reduced, but processing speed becomes insufficient for real-time processing of broadband signals
Solution Approach 1:
The broadband signal is divided into multiple frequency bands using parallel processing channels, each handling a specific frequency range. This segmentation allows each channel to process signals at optimized sampling rates, achieving real-time processing while maintaining spectral accuracy for the overall broadband signal.
Solution Approach 2:
The patent transitions from a single-dimensional sampling approach to a multi-dimensional approach by introducing multiple processing channels with different sampling frequencies. This dimensional expansion enables simultaneous processing of multiple frequency components, resolving the contradiction between sampling accuracy and processing speed.
2Reliability
If multiple parallel sampling channels operate at different sampling frequencies to reduce aliasing, then spectral recovery is improved, but resolving ambiguities between signals becomes complex and slow
Solution Approach 1:
The patent systematically varies the sampling frequency parameter across different processing channels. By establishing specific mathematical relationships between the sampling frequencies and the signal bandwidth, the patent simplifies the ambiguity resolution process while maintaining high signal recovery accuracy.
Solution Approach 2:
The patent introduces an intermediary filtering stage between sampling and spectral analysis that pre-processes the sampled signals. This intermediary component simplifies the subsequent comparison and ambiguity resolution processes by reducing the complexity of the signals that need to be analyzed.
3Measurement precision
If the conversion frequency is increased to be strictly greater than the sampling frequency, then spectral aliasing is reduced, but the filter cutoff frequency must be increased accordingly
Solution Approach 1:
The patent optimizes the relationship between conversion frequency and filter cutoff frequency by establishing specific mathematical ratios. By carefully selecting these parameters, the patent achieves high spectral resolution while keeping filter specifications within practical implementation limits.
Data Source
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AI summary
The present invention relates to a signal analysis device (16), the analysis device (16) comprising N signal processing channels (22), each processing channel (22) comprising: - a sampling device (24) operating at a sampling frequency, - an analog-to-digital converter (26) operating at a conversion frequency, the conversion frequency being strictly greater than the sampling frequency, - a filter (28) interposed between the sampling device (24) and the analog-to-digital converter (26), the filter (28) being a filter having a cutoff frequency, and - a computer suitable for analyzing the output signal of the analog-to-digital converter (26).