FMCW Signal Measurement Device with Automatic Parameter Reconstruction
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Solution Overview
Problem
Current methods for analyzing frequency-modulated continuous-wave (FMCW) radar signals are labor-intensive and prone to errors, especially in poor signal-noise ratios, requiring significant technical knowledge and effort for accurate parameter detection.
Innovation Solution
A measuring device and method that automatically determines and reconstructs FMCW signal parameters, displaying both the actual and ideal measurement signals, along with an error signal, to facilitate easy identification of correct parameter detection with minimal user expertise and effort, using a processing unit with detection, reconstruction, and error-signal units, and a display unit for visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual methods are used to analyze FMCW signals, then measurement precision can be achieved with sufficient technical knowledge, but the operating effort and time required are substantially increased
Solution Approach 1:
The system performs automatic self-analysis of FMCW signals through the processing unit that autonomously detects signal parameters, reconstructs ideal signals, and generates error signals without requiring manual intervention or extensive technical knowledge from the user
Solution Approach 2:
The patent replaces manual mechanical analysis methods with automated electronic processing, where the processing unit electronically analyzes FMCW signals through digital signal processing techniques including Fourier transformation and parameter extraction algorithms
2Measurement precision
If conventional manual analysis methods are used, then sufficient technical knowledge enables accurate measurement, but the measurement time and productivity are reduced
Solution Approach 1:
The processing unit continuously processes FMCW signals in real-time, performing automatic parameter detection, signal reconstruction, and error analysis without interruption or manual intervention, thereby maintaining high measurement productivity while ensuring accurate results
Solution Approach 2:
The system performs preliminary automatic detection and reconstruction of signal parameters before final measurement output, preparing the ideal measurement signal and error signal in advance to enable rapid and accurate measurement results
3Ease of operation
If automatic detection is implemented, then user effort is reduced, but the complexity of the device increases
Solution Approach 1:
The processing unit is designed as a multi-functional device that integrates signal acquisition, parameter detection, ideal signal reconstruction, error signal generation, and display control into a single universal system, managing complexity through functional integration rather than separate components
4Ease of operation
If automatic parameter detection is used, then operating effort is minimized, but reliability in poor signal-noise conditions deteriorates
Solution Approach 1:
The system employs feedback through error signal generation, where the difference between actual and ideal measurement signals is calculated and displayed, allowing automatic verification and adjustment of detected parameters to maintain high reliability even in poor signal-noise conditions
Data Source
AI summary
A measuring device for measuring a measurement signal of a device under test comprises a processing unit and a display unit. The processing unit comprises a detection unit configured to automatically determine at least one parameter characterizing the measurement signal. The processing unit further comprises a reconstruction unit configured to reconstruct an ideal measurement signal on the basis of the at least one parameter characterizing the measurement signal. The display unit is configured to display the measurement signal or a signal derived from the measurement signal and the reconstructed ideal measurement signal.