Abstract
Accurate spectral testing plays a crucial role in modern high-precision ADCs’ evaluation process. One of the challenges is to be able to test the continually higher-resolution ADCs accurately and cost-effectively. Due to its stringent test requirement, the standard test method for ADCs can be difficult to implement with low cost. This chapter proposes an algorithm that relaxes the requirements of precise control over source amplitude and frequency and of the need to achieve coherent sampling. The algorithm divides the output data into segments and estimates the drifting fundamental via Newton iteration. By removing the estimated drift fundamental and replacing with a coherent, non-drift, fundamental in time domain, accurate spectral results can be achieved. Various simulation results have validated the accuracy of the proposed algorithm. The proposed algorithm is capable of tolerating various test condition variations such as any level of non-coherency, various input frequency ranges, and different numbers of segmentations. In addition, several measurement results from different ADCs have verified the accuracy of the proposed algorithm, which is able to accurately obtain spectral performance of an 18-bit high-resolution ADC. Such an algorithm relaxes the standard test requirement such as precise control over source frequency and amplitude, which dramatically reduces the test setup complexity and cost.
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Zhuang, Y., Chen, D. (2018). Accurate Spectral Testing with Arbitrary Non-coherency in Sampling and Simultaneous Drifts in Amplitude and Frequency. In: Accurate and Robust Spectral Testing with Relaxed Instrumentation Requirements. Springer, Cham. https://doi.org/10.1007/978-3-319-77718-4_3
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