基于直方图的A/D转换器测试中测试刺激识别的改进算法

Esa Korhonen, J. Kostamovaara
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引用次数: 9

摘要

针对基于直方图的A/D转换器测试,提出了一种改进的刺激识别算法。描述了改进背后的数学理论,并给出了支持该理论的仿真结果。刺激识别方法可以在没有高度线性或纯测试刺激的情况下测试adc的线性度。模拟预测,仅使用75 dBc的纯正弦测试刺激就可以以0.5 LSB的精度测量16-b adc的INL,而标准化直方图测试方法需要超过105 dBc的纯测试刺激。
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An Improved Algorithm to Identify the Test Stimulus in Histogram-Based A/D Converter Testing
This paper presents an improved stimulus identification algorithm for histogram-based A/D converter testing. The mathematical theory behind the improvements is described and simulation results supporting this theory are presented. The stimulus identification method enables the linearity of ADCs to be tested without a highly linear or pure test stimulus. Simulations predict that the INL of 16-b ADCs can be measured with an accuracy of 0.5 LSB using only a 75 dBc pure sinusoidal test stimulus, whereas the standardized histogram test method requires a pure test stimulus of over 105 dBc.
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