Adaptive RF Frequency Sweep for DUT Characterization
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Solution Overview
Problem
Traditional measurement instruments, such as network analyzers, perform frequency sweeps in a step-wise, linear progression, which is time-consuming and energy-intensive, limiting the speed and efficiency of device under test (DUT) characterization.
Innovation Solution
Implementing an adaptive frequency algorithm using a field-programmable gate array (FPGA) to selectively generate and measure RF test signals at frequencies based on response measurement data, allowing for iterative adjustments and reducing the number of measurements needed to characterize a DUT.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional step-wise frequency sweep is used, then measurement completeness is ensured, but measurement time increases significantly
Solution Approach 1:
The patent applies dynamics by making the frequency sweep adaptive rather than static. The measurement system dynamically adjusts the frequency step size based on real-time analysis of DUT response characteristics. When resonant peaks or significant response changes are detected, the algorithm automatically reduces step size to capture detailed features, while increasing step size in flat response regions to accelerate measurement. This dynamic adaptation resolves the contradiction by maintaining measurement completeness only where needed while reducing overall measurement time.
Solution Approach 2:
The patent changes the parameter of frequency step size from a fixed value to a variable parameter that adapts based on measured response characteristics. The algorithm continuously monitors the DUT response and modifies the frequency increment dynamically, changing from uniform stepping to non-uniform adaptive stepping. This parameter change enables the system to concentrate measurements at critical frequencies while skipping redundant points, thereby maintaining completeness while reducing time.
2Measurement precision
If traditional step-wise frequency sweep is used, then comprehensive DUT characterization is achieved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by performing measurements only at necessary frequency points rather than uniformly across the entire frequency range. The adaptive algorithm identifies regions where detailed measurement is critical (resonant peaks, transition bands) and applies fine stepping only there, while using coarser or skipped steps in regions where comprehensive characterization is less critical. This partial application of detailed measurement maintains sufficient characterization accuracy while significantly reducing the total number of measurements and associated energy consumption.
3Productivity
If adaptive frequency selection is implemented, then measurement time is reduced, but algorithm complexity increases
Solution Approach 1:
The patent implements feedback by continuously analyzing the DUT response measurements and using this information to guide subsequent frequency selection. The algorithm processes measured data in real-time, identifies features such as resonant peaks and response variations, and feeds this information back to adjust the frequency sweep parameters. This feedback mechanism enables the system to adaptively concentrate measurements at critical frequencies while maintaining computational efficiency through incremental updates rather than complete re-analysis.
Solution Approach 2:
The patent applies preliminary action by performing initial coarse frequency sweeps to identify regions of interest before conducting detailed adaptive measurements. The algorithm first scans the frequency range to detect potential resonant peaks or significant response changes, then uses this preliminary information to guide subsequent fine-grained adaptive measurements only in the identified critical regions. This two-stage approach reduces overall algorithm complexity by avoiding the need for complex real-time decisions across the entire frequency range simultaneously.
4Productivity
If fewer frequency points are measured, then measurement speed increases, but measurement accuracy may deteriorate
Solution Approach 1:
The patent applies local quality by applying different measurement densities to different frequency regions based on their importance. Instead of uniform measurement spacing, the algorithm identifies local regions with high information content (resonant peaks, rapid response changes) and concentrates measurements there with small frequency steps, while using larger steps or skipping measurements in regions with flat or less critical responses. This localized adaptation of measurement quality maintains high characterization accuracy at critical points while achieving high overall measurement speed.
Data Source
AI summary
A method for measuring electrical response of a DUT includes using a measurement instrument, generating a radio frequency (RF) test signal via the measurement instrument at one or more initial frequencies, propagating the RF test signal at the one or more initial frequencies to the DUT, measuring a response of the DUT at the one or more initial frequencies and aggregating the measured response of the DUT at the one or more initial frequencies as response measurement data. The method then includes iteratively performing, until characterization of the DUT achieves a minimum criterion, the steps of adaptively selecting an additional frequency at which to generate a RF test signal based on the response measurement data based on a predetermined adaptive frequency algorithm, generating the RF test signal at the adaptively selected additional frequency, measuring a response of the DUT at the adaptively selected additional frequency, and adding the measured response of the DUT at the adaptively selected additional frequency to the response measurement data.