RF Measurement RX Chain Feedback for EVM Minimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing RF measurement equipment requires cumbersome manual calibration and lacks self-optimization capabilities, leading to inefficient EVM measurements due to component variations and temperature changes, which are not addressed by conventional methods.
Innovation Solution
A method and equipment that continuously measure EVM in RX and TX chains using TX and RX feedback signals, and automatically adjust power levels with adjustable attenuators and amplifiers based on iterative optimization or machine learning techniques, triggered by user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration and adjustment of power levels is performed, then EVM measurement accuracy can be improved, but operation complexity and time consumption increase
Solution Approach 1:
The system performs self-calibration by automatically measuring EVM values and adjusting power levels without requiring manual intervention. The controller continuously monitors EVM measurements from the signal generator and adjusts the power amplifier and attenuator settings to optimize performance, allowing the system to self-optimize its EVM measurements.
Solution Approach 2:
The system implements a closed-loop feedback mechanism where EVM measurements are continuously taken, compared against target values, and used to automatically adjust power levels. The controller receives EVM data from the signal generator, processes this feedback information, and modifies component settings accordingly to maintain optimal measurement conditions.
2Loss of time
If self-optimization is implemented, then EVM optimization time is reduced, but device complexity increases
Solution Approach 1:
The system automatically performs optimization without requiring external intervention or complex manual procedures. The controller autonomously measures EVM values, analyzes performance data, and adjusts power levels through the power amplifier and attenuator, enabling rapid self-optimization that reduces calibration time while adding minimal complexity through automated control.
Solution Approach 2:
The system performs preliminary calibration and optimization during manufacturing or initial setup, establishing baseline performance parameters. This preliminary action reduces the need for time-consuming optimization during ongoing operations, as the system maintains optimal settings through continuous automated monitoring and adjustment.
3Measurement precision
If power levels are adjusted manually, then EVM measurements can be optimized, but productivity decreases due to cumbersome adjustments
Solution Approach 1:
The system continuously monitors EVM measurements and automatically adjusts power levels based on real-time feedback. The controller receives performance data from the signal generator, processes this information, and dynamically modifies power amplifier and attenuator settings to maintain optimal measurement conditions without requiring manual intervention, thereby improving both accuracy and efficiency.
Solution Approach 2:
The system maintains continuous automated monitoring and adjustment of power levels during measurement operations. Rather than requiring discrete manual calibration steps, the system continuously optimizes performance parameters, ensuring that EVM measurements remain accurate throughout operation without interrupting productivity for recalibration.
Data Source
AI summary
A method of error vector magnitude, EVM, minimization for a radio frequency, RF, measurement equipment is provided. The method comprises: measuring the EVM of a receive, RX, chain of the RF measurement equipment in accordance with a transmit, TX, feedback signal; and responsive to a trigger event, actuating one or more power-adjusting members interposed in the RX chain in accordance with the measured EVM of the RX chain. Among others, the RF measurement equipment is thereby consistently operated based on optimal power levels in the RX chain.