A Predictive Quantization Method for Successive Approximation Analog-to-Digital Converters

Abstract

A predictive quantization method suitable for successive approximation analog-to-digital converters belongs to the field of analog-to-digital conversion. First use the DAC module to sample and hold, and then use the quantization result obtained from the last quantization to switch the quantization capacitance of the high-order capacitor array in the DAC module, and control the high-order capacitor array according to the codewords of 1 and 0 in the last quantization result In the switching of quantized capacitors, use the comparator to obtain the first comparison result after the switching is completed, switch the redundant capacitor according to the first comparison result, and then use the comparator to obtain the second comparison result after switching the redundant capacitor, when the first comparison result and If the second comparison result is different, it means that the prediction is correct, and the remaining digits are continued to be quantized. The invention reduces the power consumption of the analog-to-digital converter in the whole quantization process by reducing the power consumption of the capacitor switching process in the prediction stage.

Description

technical field [0001] The invention belongs to the technical field of analog-to-digital conversion, and relates to a predictive quantization method suitable for successive approximation analog-to-digital converters. Background technique [0002] For bioelectrical signals, the variation of the signal amplitude is relatively small in most of the time. Aiming at this kind of signal characteristics, some literatures have proposed an interval prediction algorithm. The principle of the interval prediction algorithm is: the high bit of the previous quantization result is directly used as the high bit result of this quantization, and the high bit capacitor is switched. If the prediction is correct, the comparison and quantization of the low bit will continue. If the prediction is incorrect, all capacitors need to be reset. , and then quantify from high to low according to the traditional method. [0003] The introduction of the interval prediction algorithm, for slow-changing sig...

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Problems solved by technology

[0004] Aiming at the problems of large number of capacitor switching and high power consumption in the quantization method of the analog-to-digital converter of the traditional interval prediction algorithm, the present invention proposes a predictive quantization method suitable for successive approximation analog-to-digital converters, by providing a The new capacitor switching method can reduce the power consumption caused by capacitor switching in the prediction stage, thereby reducing the power consumption of the successive approximation analog-to-digital converter

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