Frequency Response Mismatches in 4-channel Time-Interleaved ADCs: Analysis, Blind Identification, and Correction

Singh, Simran; Anttila, Lauri; Epp, Michael; Schlecker, Wolfgang; Valkama, Mikko

doi:10.1109/tcsi.2015.2459554

Cited by 53 publications

(15 citation statements)

References 35 publications

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“…A brief comparison between several state-of-the-art FRM calibration methods is shown in Table II. Compared with the blind calibration methods [10,13], the method in this work has wider applications as the blind methods only focus either on 4-TIADC or 2-TIADC while our method is for M-TIADC where M ¼ 2; 4; 8; Á Á Á . While compared with the time-varying filters based methods [8,9], our method is much simpler in terms of implementation because only timeinvariant signal processing is required thus coefficients updating for variable digital lter (VDF) at every samples is avoided.…”

Section: Simulation Resultsmentioning

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: Simulation Resultsmentioning

confidence: 99%

“…However, it only works well for 2-TIADCs. Complex signal processing is employed in methods proposed in [11,12,13,14] to estimate the mismatch coefficients and suppress spurious components. This paper proposes a training signal based calibration method for FRMs in M-TIADCs.…”

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 high-speed high-resolution sampling system is the crucial component in wideband digital receivers, measurement instruments, and communication systems [1,2]. The performance of the sampling system is mainly determined by analog-to-digital converters (ADCs), including sampling rate, dynamic performance and full power bandwidth.…”

Section: Introductionmentioning

confidence: 99%

Automatic Calibration Method of Channel Mismatches for Wideband TI-ADC System

Pan

Zhang

2019

Electronics

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Time-interleaved analog-to-digital converter (TI-ADC) technology can increase the sampling rate without changing resolution. But, the dynamic performance of TI-ADC system is seriously deteriorated by channel mismatches. Under the condition of large bandwidth, gain mismatch and timing mismatch vary with the frequency, which cannot be regarded as fixed values. To improve the dynamic performance of the TI-ADC system, an automatic calibration method of channel mismatches for wideband TI-ADC system is proposed in this article. Frequency-dependent channel mismatches are estimated by the algorithm based on sine fitting, and compensated by the means based on perfect reconstruction. The entire sampling and calculation process is automated and tedious operation is simplified. A 6.8-GS/s 12-bit wideband TI-ADC system is implemented. This sampling system can achieve SNDR (signal-to-noise and distortion ratio) above 49 dB and SFDR (spurious-free dynamic range) above 57 dB for an input signal from 100 MHz to 3300 MHz. The proposed calibration method improves the SNDR over 10 dB and the SFDR over 15 dB. The dynamic performance of the sampling system is close to that of its sub-ADC.

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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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Frequency Response Mismatches in 4-channel Time-Interleaved ADCs: Analysis, Blind Identification, and Correction

Cited by 53 publications

References 35 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

Automatic Calibration Method of Channel Mismatches for Wideband TI-ADC System

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

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