Saturation-Assisted Feedback Loops for Fast Distortion Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data processing systems with feedback loops are slow to correct large gain-related distortions or DC offsets due to small loop gain, which can lead to inefficient distortion correction.
Innovation Solution
The implementation of saturation-based loop control assistance, which generates loop correction signals based on saturated values from analog to digital converters to increase loop gain during high distortion conditions, allowing for rapid correction of gain-related distortions and DC offsets while maintaining low loop gain for normal operation to reduce noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If small loop gain is used in feedback loops, then loop noise is reduced, but correction speed for large distortions or offsets deteriorates
Solution Approach 1:
The system dynamically adjusts the loop gain based on the detected distortion or offset magnitude. When large distortions or offsets are detected, the loop gain is increased to accelerate correction. When distortions are small or corrected, the loop gain returns to normal levels to minimize loop noise. This dynamic adjustment resolves the contradiction by making the gain adaptive rather than fixed.
Solution Approach 2:
The patent changes the loop gain parameter conditionally based on the system state. The gain parameter is modified from a fixed small value to a variable value that increases when saturation or large distortion is detected. This parameter change allows the system to achieve fast correction when needed while maintaining low noise during normal operation.
2Speed
If large loop gain is used to quickly correct distortions, then correction speed improves, but loop noise increases
Solution Approach 1:
The system employs dynamic loop gain adjustment where the gain is temporarily increased only when and where large distortions or offsets are detected. The gain returns to its normal low value after correction or when distortion is minimal. This dynamic behavior allows fast correction when needed without continuously introducing high loop noise.
Solution Approach 2:
The high loop gain is applied locally and selectively only to the specific feedback loops or time periods when large distortions are present, rather than uniformly across all operations. This localized application of high gain achieves fast correction where needed while avoiding unnecessary noise introduction during normal operation.
Data Source
AI summary
The present inventions are related to systems and methods for data processing, and more particularly to data processing using distortion-correction loops with saturation-based assistance.