This work introduces application of the Kalman Filter in linearity test of Analog-to-Digital Converters (ADCs). The Kalman Filter can be used to suppress errors in the histogram counts, based on characteristics of the test environment and the device under test, and achieve high accuracy within short test time. In this paper, appropriate system and noise models, and a corresponding form of the Kalman Filter are developed, while all necessary parameters are obtained from experimental measurements. Simulation and experiment results show that the INL k test errors are reduced by more than 50% by applying the proposed method. Consequently, this method can achieve desired accuracy with significantly fewer samples as compared to the conventional algorithm, and shorten the linearity test time by a factor of four or higher. This method is valuable for effectively reducing the production test time and cost for ADCs.
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机译：这项工作介绍了卡尔曼滤波器在模数转换器（ADC）线性测试中的应用。卡尔曼滤波器可根据测试环境和被测设备的特性来抑制直方图计数中的误差，并在较短的测试时间内实现高精度。在本文中，开发了适当的系统和噪声模型，以及相应形式的卡尔曼滤波器，同时从实验测量中获得了所有必要的参数。仿真和实验结果表明，采用该方法可以将INL k 测试错误减少50％以上。因此，与传统算法相比，该方法可以用更少的样本获得所需的精度，并将线性测试时间缩短四倍或更多倍。该方法对于有效减少ADC的生产测试时间和成本非常有用。
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