L.I. Dvoiris, V.A. Ivanov, I.N. Kryukov
Problem statement. The quality of operation of analog-to-digital converters (ADCs) depends on the matching of the input signal amplitudes and the dynamic range of the ADC. The contradiction lies in the fact that digitization must be performed with a given accuracy of both weak and large signals. Traditionally, this is solved by selecting an ADC with an uneven quantization step or constant tuning to the input signal (some time interval of tuning is required). This leads to difficulties in adapting the ADC and subsequent calculations. However, such an adjustment does not guarantee the successful operation of the ADC when a signal significantly exceeding the dynamic range is received at the input for any reason (for example, switching on a nearby signal source or lighting up the matrix of a television camera). This leads to significant losses of the informative component. It is quite simple to solve this problem with a self-reset ADC (the so-called self-reset ADC), while maintaining the information content of the signal.
The purpose of the article is to study the performance indicators of a self-zeroing ADC on a model signal that goes beyond the dynamic range. As a result, the mathematical apparatus for converting signals to self-zeroing ADCs is demonstrated, including for signals beyond the dynamic range of the ADC. The accuracy of signal recovery is estimated. The possibility of implementing an algorithm for digitizing a signal that goes beyond the dynamic range of the ADC was demonstrated. The resulting methodological apparatus can be implemented on the basis of low-power microprocessor controllers.
Dvoiris L.I., Ivanov V.A., Kryukov I.N. Adaptation of the ADC to the dynamic range of the signal. Radiotekhnika. 2025. V. 89. № 2.
P. 12−15. DOI: https://doi.org/10.18127/j00338486-202502-02 (In Russian)
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