Model based dynamic characterization of analog-digital-converters at radio frequency

Input-Dependent Integral Nonlinearity Modeling for Pipelined Analog–Digital Converters

“…The HCF term was modeled by static piecewiselinear segments, whereas the LCF was determined as a dynamic polynomial that depends on the frequency of the input stimuli. The model was investigated and parameterized in [17]. The parameters were estimated using least-squares fit.…”

“…The method was applied on simulated data, and the proposed model structure was effective in describing the INL data structure. Modifications of the method in [17], where experimental data were also employed, were made in [18].…”

“…where the known regressor h was defined in (11), the HCF parameter vector η was defined in (10), the known Vandermonde matrix was defined in (20), and the frequency-dependent LCF parameter vector θ m was defined in (17).…”

“…Then, one can show that the least-squares solution (26) can be separated into one solution for η and one coupled solution for Θ [17], i.e.,…”

Dynamic Calibration of Undersampled Pipelined ADCs by Frequency Domain Filtering

“…The ADC digital output is interpolated to acquire an adequate estimate estimator was implemented in [10] to address a LUT with the frequency content of x[k] as the dynamic feature. In [11], an empirical model-based approach was proposed for pipeline ADC post-correction by translating a frequency dependent integral nonlinearity (INL) model into a compensation scheme based on the INL modeling presented in [12]. The methodology was implemented in [13] based on a modified INL model [14].…”