An Analog-to-Digital Conversion Method Based on Gray Coding and Absolute Value Algorithm

Abstract

The present invention provides an analog-to-digital conversion method based on Gray coding and absolute value algorithm. Gray coding is used to eliminate possible peak pulses in coding. By introducing absolute value algorithm, the sudden change phenomenon of each pipeline output is effectively eliminated, so that The output of each pipeline is represented by a continuous analog conversion process using a unified analytical algorithm without using sub-A / D and sub-D / A to effectively reduce the noise introduced in the encoding process. Since the conversion adopts the gray coding method, it can effectively improve the reliability of the coding, and the conversion process does not need sub-A / D and sub-D / A, which can reduce calculation errors and improve conversion accuracy. The encoding unit and the computing unit are independent, which avoids the feedback link of the sub-D / A and helps to improve the conversion speed.

Description

technical field [0001] The invention relates to the technical field of digital signal and analog signal conversion, in particular to an analog-to-digital conversion method based on gray coding and absolute value algorithm. Background technique [0002] At present, all A / Ds are encoded in natural binary code. The biggest disadvantage of this encoding method is that it is easy to cause a large spike in the circuit. For example, when the natural binary code changes from 15 to 16, each bit must be change; in the pipeline A / D conversion, each stage includes a sample-and-hold circuit, a low-resolution sub-A / D, a sub-D / A, a margin and a gain circuit, and the margin output of the previous stage is amplified As the analog input of the subsequent stage. There are sudden changes in the output waveform of the circuit margin of each stage, and it is easy to introduce large noise, thereby affecting the conversion accuracy. At the same time, the analog feedback of the sub-DAC will also in...

AI Technical Summary

Problems solved by technology

[0002] At present, all A / Ds are encoded in natural binary code. The biggest disadvantage of this encoding method is that it is easy to cause a large spike in the circuit. For example, when the natural binary code changes from 15 to 16, each bit must be change; in the pipeline A / D conversion, each stage includes a sample-and-hold circuit, a low-resolution sub-A / D, a sub-D / A, a margin and a gain circuit, and the margin output of the previous stage is amplified As an analog input for subsequent stages

There are sudden changes in the output waveform of the circuit margin of each stage, and it is easy to introduce large noise, thereby affecting the conversion accuracy. At the same time, the analog feedback of the sub-DAC will also introduce new conversion errors while affecting the speed.

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