Title :
An Adaptive Calibration Method for Parallel ADC Acquisition System
Author :
Ma Yufei ; Chen Gang
Author_Institution :
Fac. of Inf. Sci. & Eng., Shenyang Ligong Univ., Shenyang, China
Abstract :
At present, a commonly used method for increasing the sampling rate is multi-chip ADC in parallel time-interleaved sampling, in theory, which is improving the sampling rate. However, in practical applications, the mismatch between the channel due to the chip ADC is not fully same leading the splicing signal to non-uniform sampling signal, severely reducing the performance of the sampling system. Based on the characteristics of non-uniform errors of the parallel ADC sampling system, establishing the basic model of non-uniform errors estimation and correction. In this paper, a improved variable step LMS adaptive algorithm is applied. In the Matlab environment, simulation experiment show that this method realized the comprehensive correction of non-uniform errors, and is feasible and practical.
Keywords :
analogue-digital conversion; calibration; data acquisition; error analysis; least mean squares methods; sampling methods; Matlab environment; adaptive calibration method; improved variable step LMS adaptive algorithm; multichip ADC; nonuniform error estimation; nonuniform sampling signal; parallel ADC acquisition system; parallel time-interleaved sampling; sampling rate; Adaptive filters; Calibration; Convergence; Educational institutions; Least squares approximations; Splicing; Time-frequency analysis; Adaptive; Calibration; Non-uniform Errors; Parallel ADC Sampling;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
DOI :
10.1109/ICMTMA.2013.50