Adaptive and digital blind calibration of transfer function mismatch in time-interleaved ADCs

Teyou, Gael Kamdem De; Petit, Hervé; Loumeau, Patrick

doi:10.1109/newcas.2015.7182121

Cited by 7 publications

(9 citation statements)

References 12 publications

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“…In reality, electronic mismatches, which periodically modulate the input signal and degrade the output signal's dynamic performance, are inevitable. In recent years, methods have been put forward to mitigate timing mismatches [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], bandwidth mismatches [18,19], frequency response mismatches [20][21][22][23][24][25][26][27][28][29][30] (frequency response mismatch contains the gain, timing and bandwidth mismatches altogether), and nonlinearity mismatches [31][32][33][34]. To consider all kinds of mismatches, ref.…”

Section: Introductionmentioning

confidence: 99%

Calibration for Sample-And-Hold Mismatches in M-Channel TIADCs Based on Statistics

Liu

Wang

et al. 2019

Applied Sciences

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Time-interleaved analog-to-digital converter (TIADC) is a good option for high sampling rate applications. However, the inevitable sample-and-hold (S/H) mismatches between channels incur undesirable error and then affect the TIADC’s dynamic performance. Several calibration methods have been proposed for S/H mismatches which either need training signals or have less extensive applicability for different input signals and different numbers of channels. This paper proposes a statistics-based calibration algorithm for S/H mismatches in M-channel TIADCs. Initially, the mismatch coefficients are identified by eliminating the statistical differences between channels. Subsequently, the mismatch-induced error is approximated by employing variable multipliers and differentiators in several Richardson iterations. Finally, the error is subtracted from the original output signal to approximate the expected signal. Simulation results illustrate the effectiveness of the proposed method, the selection of key parameters and the advantage to other methods.

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Section: Introductionmentioning

confidence: 99%

Calibration for Sample-And-Hold Mismatches in M-Channel TIADCs Based on Statistics

Liu

Wang

et al. 2019

Applied Sciences

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“…Frequency-dependent mismatch correction is important for achieving high-resolution over a wide frequency range and has been studied in various research works . Among these compensation techniques, [104][105][106][107] correct for the bandwidth mismatch whereas [108][109][110][111][112][113][114][115][116][117][118][119][120][121][122][123][124][125][126] deal with the more general frequency response mismatch. One way to avoid performance degradation caused by bandwidth mismatch is to design S/H circuits with bandwidths which are much higher than the maximum input frequency.…”

Section: Frequency Response Mismatchmentioning

confidence: 99%

“…approximated by a polynomial function of and a filtered-error LMS algorithm is used to update the estimates of the polynomial parameters by minimizing the difference between the residue error and the reproduced error in the signal free region. Adaptive filtering may also be found in [123][124][125][126]. The estimation methods impose certain constraints on the input signal.…”

mentioning

confidence: 99%

“…The estimation methods impose certain constraints on the input signal. For example, in [123], the input signal is bandlimited and WSS. For the correlation based method in [125], the input signal cannot have spectral content at frequencies , , etc.…”

mentioning

confidence: 99%

“…For the correlation based method in [125], the input signal cannot have spectral content at frequencies , , etc. With the estimated mismatch parameters, correction is then achieved by using LPTV FIR filters [124][125][126] or FIR filter banks [123].…”

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confidence: 99%

See 2 more Smart Citations

Time-interleaved analog-to-digital converter mismatch compensation using infinite impulse response filters

Xu¹

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A 12 Bit 8 GS/s Randomly-Time-Interleaved SAR ADC with Adaptive Mismatch Correction

Linnhoff

Sippel²,

Buballa

et al. 2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper presents a wideband 12 Bit 8 GS/s timeinterleaved successive approximation register (SAR) analog-todigital converter (ADC), featuring a sub-2 radix architecture with an overrange of 10% and randomized sampling with mismatch correction in a 28 nm CMOS technology. For this purpose, 18 500 MHz SAR-ADCs plus an additional reference ADC are interleaved. This topology enables a randomization approach, reducing mismatch related interleaving spurs. Furthermore, the additional reference ADC operating in parallel to the main ADC enables adaptive digital calibration to correct for static and time-interleaved mismatch effects. A wideband front-end features two subsequent push-pull buffer stages to achieve a high trackand-hold (T/H) bandwidth and high sampling linearity, while improving kickback related settling limitations. After calibration, the ADC achieves a signal to noise and distortion ratio (SNDR) of 56.8 dB and a spurious free dynamic range (SFDR) of 80 dBc applying a single full scale sine wave tone close to the Nyquist frequency of 4 GHz.

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Adaptive and digital blind calibration of transfer function mismatch in time-interleaved ADCs

Cited by 7 publications

References 12 publications

Calibration for Sample-And-Hold Mismatches in M-Channel TIADCs Based on Statistics

Calibration for Sample-And-Hold Mismatches in M-Channel TIADCs Based on Statistics

Time-interleaved analog-to-digital converter mismatch compensation using infinite impulse response filters

A 12 Bit 8 GS/s Randomly-Time-Interleaved SAR ADC with Adaptive Mismatch Correction

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