RF Signal Processing via Adaptive Filter Parameter Optimization
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Solution Overview
Problem
Digital signal processing in radio-frequency systems, particularly in plasma power delivery systems, faces inefficiencies due to interference from harmonics and uncontrolled frequency variations, leading to fluctuations in output power measurements and unreliable detection of specific situations, which existing methods fail to adequately address through filter optimization and adaptive sampling frequency alone.
Innovation Solution
A method that involves training a programmable circuit, such as an FPGA, using reference data to optimize filter parameters through a machine learning process, allowing for real-time processing and future adaptation to new situations without hardware changes, by varying configurations and selecting the best parameter settings for improved signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If filters are used to suppress interference in RF signals, then measurement precision is improved, but signal delay increases causing control response time to worsen
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting filter parameters (such as cutoff frequency and filter order) based on the detected interference characteristics. The system analyzes the RF signal spectrum and adapts filter settings in real-time to suppress specific interference frequencies while maintaining optimal signal delay characteristics for timely control response.
2Productivity
If DSP is carried out in hardware by integrated circuits, then processing speed is improved, but parametrization complexity increases
Solution Approach 1:
The system implements self-service through automated parameter optimization algorithms that automatically determine optimal filter parameters without requiring manual intervention. The DSP hardware includes built-in algorithms that self-adjust parameters based on signal characteristics, eliminating the need for complex manual parametrization while maintaining high processing speed.
Solution Approach 2:
The patent applies preliminary action by pre-calculating and storing optimal parameter sets for different operating conditions. Before actual signal processing begins, the system pre-determines appropriate parameter configurations based on expected signal characteristics, allowing the hardware DSP to operate with pre-optimized settings that reduce both complexity and processing time.
3Measurement precision
If filter parameters are optimized to reduce interference, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system applies dynamics by implementing adaptive filter parameter optimization where parameters are dynamically adjusted based on real-time signal analysis. Rather than using fixed complex filter configurations, the system continuously monitors signal characteristics and adapts filter parameters accordingly, achieving high measurement precision with variable but manageable device complexity.
Data Source
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AI summary
The invention relates to a method for improving digital signal processing in a radio-frequency system (1), in particular a radio-frequency power delivery system (1), comprising: - Providing (101) at least one input signal (210), preferably related to a radio-frequency signal of the radio-frequency system (1), - Performing (102) a processing procedure (310) wherein the at least one input signal (210) is repeatedly processed by a programmable circuit (10) using at least one configurable parameter of the processing, wherein a configuration of the at least one parameter is varied for each processing of the at least one input signal (210) to obtain respective processing results (220), - Determining (103) at least one parameter result (240) for an optimization of the configuration based on the processing results (220), - Providing (104) the at least one determined parameter result for the improved digital signal processing.