Channel linearity mismatch effects in time-interleaved ADC systems

Kurosawa, Naoki; Kobayashi, Haruo; Kobayashi, Kensuke

doi:10.1109/iscas.2001.921882

Cited by 16 publications

(14 citation statements)

References 12 publications

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“…The frequency response nonideality for constituent channels are simulated by firstorder RC filters whose cutoff frequencies, together with the 2nd and 3rd-order nonlinearity coefficients are presented in Table I. For notational convenience, the "frequency" mentioned below is referred to as the angular frequency in the digital domain 3 .…”

Section: Simulation Resultsmentioning

confidence: 99%

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Calibration for frequency-dependent mismatches in bandpass sampling TIADCs

Liu

et al. 2017

IEICE Electron. Express

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Bandpass sampling (BPS) is a widely used technique where one samples a bandpass-filtered signal at a sampling rate below its Nyquist rate (twice the upper cutoff frequency). For a BPS time-interleaved ADC (TIADC), its dynamic range is subject to the frequency-dependent mismatches generally introduced by the differences of process, supply voltage and temperature between constituent ADCs. This paper proposes a calibration method for frequency-dependent mismatches in BPS TIADCs. The frequency-dependent mismatches is analyzed in both time and frequency domain with the aid of Taylor's series and binary Hadamard transform (BHT). The calibration is composed of coefficients estimation, equalization and mismatches compensation. The coefficients are estimated by solving a linear equations in the foreground based on least square (LS) algorithm. Equalization is to cancel out the linear distortion ahead of compensation to provide a better approximation of the input signal. The principle of mismatches compensation is to reconstruct the mismatches-induced spurious components and subtract them from the original TIADC's output. Simulation results are provided to show the improvement of both effective resolution and dynamic range, and investigate the proper length of training signal, the proper order of Taylor approximation, differentiator and Hilbert filter.

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Section: Simulation Resultsmentioning

confidence: 99%

“…The state-of-the-art literatures shed much light on the mitigation of mismatches in lowpass sampling (LPS) TIADCs [2,3,4,5,6,7,8,9,10,11,12]. But few researchers strive to address the mismatches in BPS TIADCs.…”

Section: Introductionmentioning

confidence: 99%

Calibration for frequency-dependent mismatches in bandpass sampling TIADCs

Liu

et al. 2017

IEICE Electron. Express

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“…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%

“…It is pointed out that the DNL and INL of a TIADC are smaller than the DNL and INL errors for individual sub-ADCs. The channel linearity mismatch effects in TIADCs are analyzed and simulated in [21], in which several distinct features of nonlinear mismatch are shown. A nonlinear hybrid filter banks model of TIADCs is proposed in [29], where the input-output relationship of TIADCs with nonlinear mismatches is formulated.…”

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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“…Moreover, a statistical analysis of combined channel mismatch effects and the effect of timing jitter in combination with mismatch effects has not been considered at all. In [37], the authors provide a first analysis of nonlinearity mismatches, and in [38], some properties of nonlinearity mismatches are presented; however, a complete mathematical treatment is introduced in [39]. There, the authors show that nonlinearity mismatches can be understood as generalizations of offset and gain mismatches.…”

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confidence: 99%

The Impact of Combined Channel Mismatch Effects in Time-Interleaved ADCs

Vogel

2005

IEEE Trans. Instrum. Meas.

187

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Abstract-A time-interleaved multichannel analog-to-digital converter (ADC) achieves high sampling rates with the drawback of additional distortions caused by channel mismatches. In this paper, we consider the dependency of the signal-to-noise-and-distortion ratio (SINAD) on the combination of several different channel mismatch effects. By using either explicitly given mismatch parameters or given parameter distributions, we derive closed-form equations for calculating the explicit or the expected SINAD for an arbitrary number of channels. Furthermore, we extend the explicit SINAD by the impact of timing jitter. We clarify how channel mismatches interact and perform a worst case analysis of the explicit SINAD for individual mismatch errors. We also show that equations describing the expected SINAD of individual mismatch errors are special cases of our general formulation. We indicate how to use the expected SINAD for finding efficient optimization priorities and demonstrate the importance of worst case analyses.Index Terms-Analog-to-digital converter (ADC), channel mismatch, error analysis, signal-to-noise-and-distortion ratio (SINAD), time-interleaving, timing jitter.

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Channel linearity mismatch effects in time-interleaved ADC systems

Cited by 16 publications

References 12 publications

Calibration for frequency-dependent mismatches in bandpass sampling TIADCs

Calibration for frequency-dependent mismatches in bandpass sampling TIADCs

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

The Impact of Combined Channel Mismatch Effects in Time-Interleaved ADCs

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