Calibration of static nonlinearity mismatch errors in TIADC based on periodic time-varying adaptive method
Calibration of static nonlinearity mismatch errors in TIADC based on periodic time-varying adaptive method
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基于周期时变自适应方法的TIADC静态非线性失配误差标定
DOI:
10.1587/elex.17.20200324
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发表时间:
2020-11
影响因子:
0.8
通讯作者:
Guangkun Guo
中科院分区:
文献类型:
--
作者:
Wentao Wei;Yuhua Zhang;Pengfei Li;Haihong Chen;Guangkun Guo
The nonlinear behaviors of time-interleaved analog-to-digital converter (TIADC) caused by non-ideal circuit implementations degrade performance of TIADC significantly. This paper proposes a calibration method based on model inversion strategy to compensate for static nonlinearities in TIADC, since static nonlinearities are the major compositions of the nonlinear behaviors in most situations. The proposed periodic timevarying adaptive calibration method can estimate coefficients of inverse polynomial model directly and capture variations of the nonlinear parameters when environment changes. The method proposed in this paper is also applicable to dynamic nonlinearities by changing polynomial with Volterra series. Simulation results show the effectiveness and robustness of the proposed method.
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