公开(公告)号：WO2017058874A1

公开(公告)日：2017-04-06

申请号：PCT/US2016/054117

申请日：2016-09-28

Applicant: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEM

Inventor： SUN, Nan ,  CHEN, Long ,  TANG, Xiyuan

IPC: H03M1/08 ,  H03M1/06 ,  H03M1/00

CPC classification number: H03M1/08 ,  H03M1/04 ,  H03M1/0697 ,  H03M1/1009 ,  H03M1/38 ,  H03M1/468

Abstract: Disclosed herein are systems and methods that describe statistical estimation based noise reduction for SAR ADCs. For SAR ADCs, the conversion error can be available at the comparator input. Although a noisy 1-bit comparator may not be able to produce an accurate estimation for its input if used only once, the comparison can be repeated multiple times for a designated bit of the multi-bit SAR ADC. This can allow for the improvement of the estimation accuracy by examining the probability of the comparator output being "1" or "0". The estimation of a signal from a noisy environment using multiple trials can be cast as a classic. In one aspect of the disclosure, an optimal Bayes estimator is disclosed to achieve a low estimation error from the comparator on a designated bit of the multi-bit SAR ADC.

Abstract translation: 这里公开了描述针对SAR ADC的基于噪声降低的统计估计的系统和方法。 对于SAR ADC，转换错误可在比较器输入端使用。 尽管如果只使用一次，噪声1比特比较器可能无法产生其输入的精确估计，所以可以对多位SAR ADC的指定位重复多次比较。 这可以通过检查比较器输出的概率为“1”或“0”来提高估计精度。 使用多次试验的嘈杂环境中的信号估计可以作为经典。 在本公开的一个方面，公开了一种最佳贝叶斯估计器，以在多位SAR ADC的指定位上从比较器获得低估计误差。