Broadband Signal Subdivision for High-Precision Deviation Analysis
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Solution Overview
Problem
Current signal analyzers are unable to effectively evaluate broadband measurement signals due to their analysis bandwidth being substantially smaller than the signal's bandwidth, leading to reduced accuracy and performance in radar systems.
Innovation Solution
The method involves subdividing the broadband measurement signal into multiple frequency bands, aligning these bands with corresponding reference signal bands, and reconstructing them to form a reconstructed broadband signal, which can then be analyzed for deviation from the reference signal, using techniques such as displacement, correlation, and demodulation to achieve high resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a broadband measurement signal with large bandwidth is analyzed using a signal analyzer with limited analysis bandwidth, then the analyzer cannot accurately evaluate the measurement signal, but increasing the analyzer's bandwidth increases device complexity and cost
Solution Approach 1:
The broadband measurement signal is divided into multiple frequency sub-bands, each with a bandwidth suitable for the signal analyzer's analysis capabilities. This segmentation allows the analyzer to process each sub-band accurately without requiring the entire broadband signal to be analyzed simultaneously, thereby resolving the contradiction between measurement precision and device complexity.
Solution Approach 2:
The problem is solved by transitioning from a single-dimensional approach (analyzing the entire broadband signal at once) to a multi-dimensional approach (analyzing multiple sub-bands separately and combining results). This dimensional change allows accurate deviation determination without requiring the analyzer to have excessive bandwidth capacity.
2Measurement precision
If the measurement signal bandwidth is much larger than the analyzer resolution bandwidth, then accurate deviation evaluation becomes impossible, but using multiple sub-bands increases processing complexity
Solution Approach 1:
The broadband measurement signal is segmented into multiple frequency sub-bands that can each be analyzed within the analyzer's resolution bandwidth. This segmentation enables accurate deviation detection in each sub-band while keeping the processing complexity manageable through systematic combination of sub-band results.
Solution Approach 2:
The individually analyzed sub-bands are merged or combined to reconstruct the overall deviation characteristics of the broadband measurement signal. This merging process achieves accurate deviation evaluation without requiring the entire signal to be processed as a single complex entity.
3Ease of operation
If the measurement signal is directly analyzed without subdivision, then the analysis is simplified, but the deviation cannot be accurately determined due to bandwidth mismatch
Solution Approach 1:
The measurement signal is divided into manageable sub-bands that match the analyzer's capabilities, maintaining operational simplicity while enabling accurate deviation determination. Each sub-band can be analyzed using standard procedures, preserving ease of operation.
Solution Approach 2:
The signal subdivision and sub-band analysis are performed as preliminary actions before final deviation determination. This preliminary processing prepares the signal in a form that is both simple to analyze and accurate, resolving the contradiction between operational simplicity and measurement precision.
Data Source
AI summary
The invention relates to a method for determining a deviation of a broadband measurement signal from a reference signal. The method provides the steps: subdivision of the signal into at least two measurement-signal frequency bands; displacement of the measurement-signal frequency bands; and reconstruction of the at least two measurement-signal frequency bands. A corresponding measurement device is also contained within the idea of the invention.