All-Digital Background Calibration Technique for Time-Interleaved ADC Using Pseudo Aliasing Signal

Matsuno, Junya; Yamaji, Takafumi; Furuta, Mamoru; Itakura, Tetsuro

doi:10.1109/tcsi.2013.2249176

Cited by 94 publications

(98 citation statements)

References 14 publications

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“…Þ, p ¼ 0; 1; Á Á Á ; P À 1 and gain factors n;p , and the output y½n is the sum of all the gain mismatched M-TIADC output. A calibration technique using pseudo aliasing signal is proposed in [3] for the gain and timing skew mismatches problem in M-TIADC. As the M-TIADC with FRMs is interpreted as P M-TIADC with gain mismatches, we can extend the method in [3] to deal with the FRMs problem.…”

Section: Polynomial Representation Of Frequency Responsesmentioning

confidence: 99%

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A calibration method for frequency response mismatches in <i>M</i>-channel time-interleaved analog-to-digital converters

Liu

2016

IEICE Electron. Express

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Frequency response mismatches (FRMs) in time-interleaved analog-to-digital converters (TIADCs) generate undesired spurs degrading the performance of TIADCs. This paper introduces a digital calibration method for the FRM in M-channel TIADCs (M-TIADCs). This method exploits fixed differentiator finite-impulse response (FIR) filters and the Hadamard transform to reconstruct the mismatch induced error signal. The mismatch parameters are estimated utilizing a short training signal and the least square (LS) method. Our method is simpler in terms of implementation compared with conventional methods as cumbersome time-varying filters, complex signal processing and front-end hardware modifications are avoided. Numerical simulation results demonstrate the efficacy and efficiency of the proposed method. Keywords: frequency response, time-interleaved ADC, mismatch, polynomial representation, Hadamard transform, least square Classification: Circuits and modules for electronic instrumentation

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Section: Polynomial Representation Of Frequency Responsesmentioning

confidence: 99%

“…The frequency independent mismatches, i.e. offset, gain and timing skew mis-matches, are dealt with in many papers e.g [3,4] and references therein. Frequency response mismatch (FRM) is identified by Vogel and Johansson [5] as the main concern in future identification and calibration methods.…”

Section: Introductionmentioning

confidence: 99%

A calibration method for frequency response mismatches in <i>M</i>-channel time-interleaved analog-to-digital converters

Liu

2016

IEICE Electron. Express

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“…The Hadamard transform is exploited to model M-TIADCs with gain and timing-skew mismatches in [8]. As the nonlinear mismatches are interpreted as a group of TIADCs with gain mismatches in this paper, we utilize the Hadamard transform to model M-TIADCs with nonlinear mismatches, as well.…”

Section: Model Of M-tiadc Exploiting Hadamard Sequencesmentioning

confidence: 99%

“…Most of them aim at the compensation methods for the linear mismatches, including gain, time-skew and frequency response mismatches [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. By comparison, relatively few papers have been published to address the nonlinear mismatches problem, which stems from the imperfection of front-end circuits, as well as the differential and integral nonlinearities of sub-ADCs [21][22][23][24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

A Calibration Method for Nonlinear Mismatches in M-Channel Time-Interleaved Analog-to-Digital Converters Based on Hadamard Sequences

Liu

Wang

et al. 2016

Applied Sciences

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Abstract:The time-interleaved analog-to-digital converter (TIADC) is an architecture used to achieve a high sampling rate and high dynamic performance. However, estimation and compensation methods are required to maintain the dynamic performance of the constituent analog-to-digital converters (ADCs) due to channel mismatches. This paper proposes a blind adaptive method to calibrate the nonlinear mismatches in M-channel TIADCs (M-TIADCs). The nonlinearity-induced error signal is reconstructed by the proposed multiplier Hadamard transform (MHT) structure, and the nonlinear parameters are estimated by the filtered-X least-mean square (FxLMS) algorithm. The performance of cascade calibration is also analyzed. The numerical simulation results show that the proposed method consumes much less hardware resources while maintaining the calibration performance.

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“…θ is a function of individual channel mismatches and a[n] = [a g [n], a t [n]] is a vector containing the aliasing signals caused by gain and timing skew, respectively [8].…”

Section: Least Mean Square Based All-digital Calibration For Undementioning

confidence: 99%

Hardware implementation of all digital calibration for undersampling TIADCs

Duc

Nguyen

Jabbour

et al. 2015

2015 IEEE International Symposium on Circuits and Systems (ISCAS)

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This paper presents a practical implementation of all digital calibration algorithm for the gain and timing mismatches in undersampling Time-Interleaved Analog-to-Digital Converter (TI-ADC). A new Least Mean Square (LMS) based detection scheme is proposed to increase convergence speed as well as to enhance the estimate accuracy. Monte Carlo simulations for a four-channel undersampling 60 dB SNR TI-ADC clocked at 2.7 GHz show that SFDR can achieve approximately 90 dB SFDR within the stable point of the channel mismatch coefficients over the first three Nyquist Bands. The proposed architecture is implemented and validated on the Altera FPGA DE4 board. The synthesized design consumes a few percentages of the hardware resources of the FPGA chip and work properly on a Hardware-In-the-Loop emulation framework.978-1-4799-8391-9/15/$31.00 ©2015 IEEE

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All-Digital Background Calibration Technique for Time-Interleaved ADC Using Pseudo Aliasing Signal

Cited by 94 publications

References 14 publications

A calibration method for frequency response mismatches in <i>M</i>-channel time-interleaved analog-to-digital converters

A calibration method for frequency response mismatches in <i>M</i>-channel time-interleaved analog-to-digital converters

A Calibration Method for Nonlinear Mismatches in M-Channel Time-Interleaved Analog-to-Digital Converters Based on Hadamard Sequences

Hardware implementation of all digital calibration for undersampling TIADCs

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