High-Precision ADC Spectrum Testing under Non-Coherent Sampling Conditions

Abstract

Realizing coherent sampling is one of the major bottlenecks in high-precision ADC spectrum testing. In spectrum analysis, if coherent sampling is not implemented, spectral leakage will result, which in turn leads to inaccurate test results. In this paper, a combined four-parameter sine-curve-fitting algorithm is proposed incorporating non-coherent sampling, with the amplitude, initial phase, and frequency parameters of the sine wave being obtained by fitting. The corresponding coherent sine wave is then calculated and replaced according to the obtained sine wave to reconstruct the new test data, eliminating the requirement of coherent sampling. Numerous simulations demonstrated the functionality and robustness of the algorithm, which was then used to process and analyze the measured data of two commercial high-precision ADCs. The results show that our algorithm can achieve accurate testing of ADC parameters under relaxed test conditions, which verifies the effectiveness and superiority of the scheme.

Overview of Signal Processing Problems in Power Electronic Control Circuits

“…The coherence of sampling (when f s = kf, where k-integer) has a significant impact on the behavior of digital signal processing algorithms such as the discrete Fourier transform (DFT) [37,[60][61][62]. An exemplary spectrum of a coherently sampling sinusoidal signal is depicted in Figure 9a.…”