RF DUT Testing with Closed-Loop Waveform Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing RF signal generators require cumbersome and time-consuming manual adjustments for testing DUTs, and there is a need for a dynamic feedback mechanism to adapt RF test signals in real time, especially for new mobile communication standards using machine learning models.
Innovation Solution
A system comprising an output port, waveform generator, communication interface, and processing unit that dynamically generates waveform information based on feedback signals to adjust RF output signals, allowing real-time adaptation and flexibility across various standards and DUT types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment of test signals is used, then the system is simple to operate, but the testing process becomes cumbersome and time-consuming
Solution Approach 1:
The patent implements a feedback mechanism where the DUT sends feedback signals about its state and performance. The processing unit receives these feedback signals and automatically adjusts the RF test signal parameters in real-time, eliminating the need for manual adjustment while maintaining ease of operation through automated closed-loop control
Solution Approach 2:
The system enables self-service operation where the testing process automatically adjusts itself based on feedback from the DUT. The processing unit autonomously modifies waveform parameters without requiring operator intervention, making the system both fast and easy to operate
2Adaptability or versatility
If static test signals are used, then the system is simple to implement, but it cannot adapt to real-time channel conditions or ML model requirements
Solution Approach 1:
The patent transforms the static test signal system into a dynamic one by continuously adjusting RF signal parameters based on real-time feedback. The processing unit modifies waveform characteristics dynamically to match current channel conditions and ML model requirements, enabling the system to adapt to changing test scenarios
Solution Approach 2:
The system achieves universality by designing a flexible feedback mechanism that can handle multiple communication standards (5G, LTE) and different DUT types. The processing unit interprets feedback signals and adjusts waveforms appropriately for various scenarios, making the system versatile without requiring separate dedicated systems for each standard
3Extent of automation
If real-time feedback mechanism is implemented, then dynamic adaptation is achieved, but the system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring the processing unit with the capability to interpret various feedback signal formats and pre-establish the relationship between feedback indicators and waveform adjustment parameters. This preparation reduces the complexity of real-time processing during actual operation
Solution Approach 2:
The communication interface acts as an intermediary between the DUT and processing unit, providing a standardized method for receiving feedback signals. This intermediary layer simplifies the overall system architecture by handling the complexity of signal reception and preprocessing, making the feedback mechanism easier to implement
Data Source
AI summary
The disclosure relates to a system for testing a device-under-test, DUT. The system comprises: an output port arranged for being connected to the DUT; a waveform generator configured to generate an RF output signal and to forward said RF output signal to the DUT via the output port; a communication interface configured to receive a feedback signal from the DUT; and a processing unit configured to dynamically generate waveform information based on the received feedback signal, wherein the processing unit is configured to generate the waveform information from stored and/or from real time calculated waveform samples; wherein the waveform generator is configured to adjust the RF output signal based on the waveform information.


