Research on Testing Methods of SINAD Analog-to-Information Converters

Abstract—

The operation of an analog-to-information converter (AIC) is based on the theory of compressed sampling, which allows us to process a signal with a small number of reports, provided that the input signal is compressible. As a result, the collected data may not have all the information about the spectrum of the input signal, and the standard method for estimating the signal-to-noise and distortion (SINAD) ratio used for an analog-to-digital converter (ADC) is not applicable. In this paper a new technique for calculating the SINAD of an AIC is presented. The idea of this technique is to select the parameters of white noise, the power of which is equal to the power of the distortion and noise of the AIC. To study the results of the new technique, mathematical modeling of the AIC and the reference ADC with the same characteristics is carried out. The SINAD of the AIC is evaluated using the techniques presented in the literature and the proposed method. The SINAD of the AIC is calculated using the techniques presented in the literature and the proposed technique. The SINAD of the ADC is calculated for comparison. The new (proposed) technique demonstrates a stable result: the SINAD of the AIC coincides with the SINAD of the ADC.