Adaptive Gain Control Circuit for Noisy Amplified Signals
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Solution Overview
Problem
Existing data processing systems face challenges with noisy amplified signals, which undermine data processing quality, particularly in systems that rely on variable gain amplifiers and analog to digital converters.
Innovation Solution
The implementation of a data processing system that includes an analog to digital converter circuit, a data detector circuit, a filter circuit, an error generation circuit, and a target parameter adaptation circuit, which converts analog inputs into digital samples, applies data detection algorithms, convolves detected outputs with target parameters, calculates error values, and updates target parameters based on these errors to adjust gain and improve signal processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a variable gain amplifier is used to amplify the analog signal, then the signal strength is improved, but the noise in the amplified signal increases and undermines data processing
Solution Approach 1:
The patent implements a feedback mechanism where the digital output is converted back to analog form and compared with the original analog input signal. The difference (error) between these signals is used to adjust the gain of the variable gain amplifier, creating a closed-loop system that automatically compensates for noise introduction while maintaining signal strength.
Solution Approach 2:
The patent introduces an intermediary analog-to-digital converter and digital-to-analog converter pair that mediates between the amplified analog signal and the error calculation process. This intermediary conversion system enables the comparison of the amplified signal with the original input to generate the error signal used for gain adjustment.
2Measurement precision
If the gain is increased to improve signal quality, then the signal strength is improved, but the noise amplification also increases
Solution Approach 1:
The feedback loop continuously monitors the quality of the amplified signal by comparing the converted digital output with the original analog input. When noise amplification degrades signal quality, the error signal automatically reduces the gain to compensate, maintaining optimal signal quality while minimizing noise amplification effects.
Solution Approach 2:
The gain of the variable gain amplifier is made dynamic rather than fixed. The gain automatically adjusts in real-time based on the error signal from the feedback loop, allowing the system to adapt to changing signal conditions and maintain optimal performance across varying input levels and noise conditions.
3Reliability
If adaptive gain control is implemented to reduce noise, then the signal quality is improved, but the device complexity increases
Solution Approach 1:
The patent employs existing multi-functional components such as the analog-to-digital converter and digital-to-analog converter that serve dual purposes: their primary function for signal conversion and a secondary function for error signal generation in the feedback loop. This reduces the need for additional dedicated components and minimizes overall circuit complexity.
Solution Approach 2:
The patent merges the error generation function with the existing signal conversion path by using the same analog-to-digital converter and digital-to-analog converter for both signal processing and error calculation. This consolidation eliminates the need for separate error detection hardware and simplifies the overall device architecture.
Data Source
AI summary
Various embodiments of the present invention provide systems and methods for data processing. For example, a data processing system is discussed that includes: an analog to digital converter circuit, a data detector circuit, a filter circuit, an error generation circuit, and a target parameter adaptation circuit. The analog to digital converter circuit converts an analog input into corresponding digital samples. The data detector circuit applies a data detection algorithm to a data set derived from the digital samples to yield a detected output. The filter circuit convolves the detected output with a target parameter to yield a target output. The error generation circuit calculates an error value based on the digital samples and the target output. The target parameter adaptation circuit updates the target parameter based at least in part on the error value.