We propose a behavior-based macro-model of mixed ADC systems as a tool for high-level simulation, investigation and pilot testing, as well as a tool to facilitate and support a design process of other systems containing them. Our aim is to characterize the dynamic and nonlinear properties of ADC systems simultaneously with the representing of discrete nature of ADC output. To introduce the model, we assume that nonlinear and dynamic properties of the system can be separated. Decomposition of the nonlinear static characteristic is performed to calculate the output signal for any sinusoidal input signal. To deal with dynamics, traditional coefficients of the differential equation input-output are used. The discrete nature of ADC system is taken into account by an ideal quatizator, operating at the output of the model. As a result, behavior of the system can be described with a small set of parameters, and each of them can be estimated experimentally. The simulation results confirmed the usefulness of the model.
The paper deals with an improved technique for testing embedded analog-digital converters (EADC) as the system objects with the dynamic nonlinear and stochastic properties. A proposed technique makes it possible to estimate the dynamic characterization parameters typical as for spectral domain as for histogram testing. The implementation of the testing technique that is described is based on a broadband test signal that simulates actual operating conditions of EADC. By changing mode of the test-signal generation it may be possible to except masking of the signal knocked codes. The technique makes it possible to avoid the standard problems associated with precise estimation of the spectrum of a broadband signal. The proposed technique is well fitted for design for test (DFT) and built in self-test (BIST) schemes to integrated circuits including digital processing unit an on-chip ADC and DAC.
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