Adaptive Digital Filtering for Low-Frequency ADC Noise Reduction
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Solution Overview
Problem
Analog-to-digital converters face challenges in improving the signal-to-noise ratio due to environmental noise, quantization noise, and circuit noise, with built-in filters often failing to effectively enhance the ratio, especially at low signal frequencies.
Innovation Solution
A signal processing system comprising an adjustable filter, a signal difference calculating unit, and a selecting unit that adjusts the filter's bandwidth based on a comparison of signal difference values with preset threshold values to optimize the output between the digital signal and filtered signal, ensuring effective noise reduction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a built-in filter is added to the analog-to-digital converter to improve the signal-to-noise ratio, then the noise filtering capability is enhanced, but the device complexity increases and the filter cannot effectively improve the signal-to-noise ratio when the signal frequency is low
Solution Approach 1:
The patent extracts the filtering function from the analog-to-digital converter and implements it as a separate digital filter in the digital signal processing stage. This separation allows the filter to be independently optimized without increasing the ADC's internal complexity, while still achieving effective noise reduction for low-frequency signals through digital processing
Solution Approach 2:
The patent introduces a digital filter as an intermediary component between the ADC and the output stage. This digital filter acts as a mediator that processes the digital signal to remove noise components, thereby improving the signal-to-noise ratio without requiring modifications to the ADC's internal structure
2Measurement precision
If the filter bandwidth is narrowed to improve noise filtering, then the signal-to-noise ratio is improved, but the data signal may be distorted or lost
Solution Approach 1:
The patent implements a variable bandwidth filter whose cutoff frequency can be dynamically adjusted based on the input signal characteristics. When the input signal is a low-frequency data signal, the filter bandwidth is automatically widened to pass the signal without distortion. When the input is a high-frequency test signal, the bandwidth is narrowed to maximize noise filtering, thus preventing data signal loss while improving signal-to-noise ratio
Solution Approach 2:
The patent changes the filter parameter (cutoff frequency) based on the type of input signal detected. By detecting whether the input is a data signal or a test signal, the system adjusts the filter's cutoff frequency parameter accordingly, allowing the filter to adapt its behavior to preserve data signals while effectively filtering noise
3Measurement precision
If software processing is used to eliminate environmental noise from the digital signal, then the signal-to-noise ratio can be improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent applies digital filtering as a preliminary processing step immediately after ADC conversion, before further signal processing or analysis. This preliminary noise reduction eliminates environmental noise early in the processing chain, reducing the computational burden and processing time required for subsequent software-based noise elimination techniques
Data Source
AI summary
A signal processing system includes an adjustable filter, a signal difference calculating unit, a determining unit and a selecting unit. The adjustable filter is configured to receive a digital signal outputted from an analog-to-digital converter, and filter the digital signal to generate a filtered signal. The signal difference calculating unit is configured to calculate and output a signal difference value between the digital signal and the filtered signal. The determining unit is configured to compare the signal difference value with a predetermined threshold value, to generate a comparison result, and generate a selection signal and a bandwidth adjustment signal according to the comparison result. The selecting unit is configured to receive the digital signal and the filtered signal, and output one of the digital signal and the filtered signal according to the selection signal. The bandwidth of the adjustable filter can be adjusted according to the bandwidth adjustment signal.


