Digital Requantization Using LSB Correction to Reduce Output Ripple
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Switched-mode power supplies face challenges in precision voltage regulation due to high-resolution requirements for analog-to-digital converters and waveform generators, which are not always practical, leading to undesirable low-frequency components and ripple in the output signal.
Innovation Solution
A requantization device and process that reduces the bit resolution of digital words while using correction means to add or subtract least significant bits, effectively compensating for quantization errors and reducing low-frequency harmonics, thereby improving the effectiveness of LC filtering and reducing ripple amplitude.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dithering is used to improve quantization resolution, then the precision of voltage regulation is improved, but low-frequency ripple is introduced in the output signal
Solution Approach 1:
The patent applies periodic action by using dithering sequences that are periodically applied to the quantization process. The dither signal is added periodically to the input signal before quantization, and the resulting quantization errors are distributed over time in a periodic manner. This periodic dithering approach improves the effective resolution of the quantizer while the periodic nature helps in designing filters that can remove the resulting periodic ripple components at known frequencies.
Solution Approach 2:
The patent changes the parameter of quantization step size dynamically by using variable step-size dithering. Instead of using a fixed quantization step, the system adjusts the step size based on the signal characteristics and operating conditions. This allows optimization of the trade-off between quantization noise reduction and ripple generation, improving precision while controlling the harmful ripple effects through adaptive parameter adjustment.
2Measurement precision
If high-resolution waveform generator is used, then precision of voltage regulation is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies segmentation by dividing the high-resolution quantization task into multiple lower-resolution steps. Instead of using a single high-resolution waveform generator, the system performs sequential quantization in multiple stages, each operating at lower resolution. The dithering technique is used to distribute quantization errors across these stages, achieving effective high-resolution control through multiple coarse quantization steps rather than one fine quantization step.
Solution Approach 2:
The patent introduces dithering signals as intermediary elements between the low-resolution quantizer and the desired high-resolution output. These dithering signals act as mediators that modify the quantization process, allowing a low-resolution waveform generator to effectively produce high-resolution control signals. The dithering intermediaries add controlled noise that, when processed through the quantization and filtering stages, yields improved precision equivalent to higher-resolution hardware.
3Device complexity
If quantization step size is increased to reduce bits, then device complexity is reduced, but quantization error increases
Solution Approach 1:
The patent applies preliminary action by adding dithering signals to the input signal before the quantization process. This pre-processing step modifies the signal in advance to ensure that when coarse quantization is applied, the quantization errors are randomized and distributed uniformly rather than creating systematic distortion. The preliminary dithering action enables the use of larger quantization step sizes (coarser quantization) while maintaining effective precision through the statistical properties of the dithered quantization errors.
Data Source
Figure 1~3
AI summary
The invention relates to the digital signal requantization, at a given quantization step size, of a first word received in a first period of time and encoded in a first number of bits, into a second word, with a quantization error equal to a third number. A sequence of third words is outputted, equal to the second word, with the sequence subdivided into a first group comprising a number of third words that is equal to the third number and a second group of third words. Before outputting them, the correction means adds a least significant bit to the third words of the first group and adds or subtracts least significant bits to or from the third words of the second group, such that the sum of the least significant bits added to and subtracted from the second group is zero.