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Precision measurement of ADC parameters with cumulative histogram technique using Gaussian noise
Microelectronics Journal ( IF 1.9 ) Pub Date : 2020-08-24 , DOI: 10.1016/j.mejo.2020.104875
Bhawana Garg , D.K. Mishra

Analog to Digital Converter (ADC) is a significant part of any electronic measurement and instrumentation system. It affects the overall accuracy of the system, therefore it should be characterized and tested precisely. The ADC testing methods, available in literature use deterministic signals as stimuli and have certain limitations. This paper presents statistical testing of ADC based on the cumulative histogram technique with white Gaussian noise as stimuli. The proposed method is not much more explored in literature and shows improvement in the estimation of parameters. A large number of samples of Gaussian noise is simulated and applied to the simulated 5–10 bit ADC. The cumulative histogram is estimated, and the code transition level is calculated to obtain the transfer characteristics of ADC. The linear regression method is employed on the transfer characteristics and the best-fit line is obtained. Corrections have been applied to nullify the gain and offset error. Comparative analysis of the transfer characteristics of simulated ideal and actual ADC will lead to develop the algorithm for the estimation of static parameters Gain, offset, Integral and Differential nonlinearities, and the Effective Number of Bits. The analytical expression for the precision measurement of these parameters is derived. Simulation results are presented in support of the derived expression of the proposed method. Obtained results are compared with the results presented in the literature and hence the effectiveness of the method.



中文翻译:

利用累积直方图技术使用高斯噪声精确测量ADC参数

模数转换器(ADC)是任何电子测量和仪器系统的重要组成部分。它会影响系统的整体精度,因此应对其进行准确表征和测试。文献中可用的ADC测试方法使用确定性信号作为刺激,并具有一定的局限性。本文介绍了基于累积直方图技术的ADC的统计测试,并以白高斯噪声作为刺激。所提出的方法在文献中没有更多地探索,并且显示出参数估计方面的改进。对大量高斯噪声样本进行了仿真,并将其应用于仿真的5-10位ADC。估计累积直方图,并计算代码转换级别,以获得ADC的传输特性。对传递特性采用线性回归方法,得到最佳拟合线。已进行校正以使增益和失调误差无效。通过对模拟理想和实际ADC的传输特性进行比较分析,可以开发出用于估算静态参数增益,失调,积分和微分非线性以及有效位数的算法。导出了用于精确测量这些参数的解析表达式。给出了仿真结果以支持该方法的推导表达式。将获得的结果与文献中提供的结果进行比较,从而验证了该方法的有效性。通过对模拟理想和实际ADC的传输特性进行比较分析,可以开发出用于估算静态参数增益,失调,积分和微分非线性以及有效位数的算法。导出了用于精确测量这些参数的解析表达式。给出了仿真结果以支持该方法的推导表达式。将获得的结果与文献中提供的结果进行比较,从而验证了该方法的有效性。通过对模拟理想和实际ADC的传输特性进行比较分析,可以开发出用于估算静态参数增益,失调,积分和微分非线性以及有效位数的算法。导出了用于精确测量这些参数的解析表达式。给出了仿真结果以支持该方法的推导表达式。将获得的结果与文献中提供的结果进行比较,从而验证了该方法的有效性。导出了用于精确测量这些参数的解析表达式。给出了仿真结果以支持该方法的推导表达式。将获得的结果与文献中提供的结果进行比较,从而验证了该方法的有效性。导出了用于精确测量这些参数的解析表达式。给出了仿真结果以支持所提出方法的推导表达式。将获得的结果与文献中提供的结果进行比较,从而验证了该方法的有效性。

更新日期:2020-09-23
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