Low-Distortion Sinewave Generation Method Using Arbitrary Waveform Generator

Wakabayashi, Kazuyuki; Kato, Keisuke; Yamada, Takafumi; Kobayashi, Osamu; Kobayashi, Haruo; Abe, Fumitaka; Niitsu, Kiichi

doi:10.1007/s10836-012-5293-4

Cited by 22 publications

(7 citation statements)

References 8 publications

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“…For multi-tone inputs, a multi-tone signal with controlled phases can be generated using an arbitrary waveform generator [10]. Fig.13 shows the cross correlation difference |R(0) − R(1)| with respect to timing skew δt/T s obtained using f 1 (t), f 2 (t), f 3 (t), f 4 (t), and we see multi-tone signals are better.…”

Section: B Input Signal For Skew Compensation Adjustmentmentioning

confidence: 99%

Digital Compensation for Timing Mismatches in Interleaved ADCs

Asami

et al. 2013

2013 22nd Asian Test Symposium

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This paper describes a digital method of reducing timing mismatch effects in time-interleaved ADCs used in ATE systems: we use cross-correlation among channel ADC outputs to detect channel timing skew, and make successive-approximation adjustments to our proposed linear-phase-digital delay filter to compensate for the timing skew. Simulation results validate the effectiveness of the proposed method. We found that using multitone input signals with cross-correlation of outputs provided a more robust way of detecting timing skew than using a singletone input signal. Since our proposed approach is fully digital, it is reliable, and suitable for fine CMOS implementation.

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Section: B Input Signal For Skew Compensation Adjustmentmentioning

confidence: 99%

Digital Compensation for Timing Mismatches in Interleaved ADCs

Asami

et al. 2013

2013 22nd Asian Test Symposium

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Section: Introductionmentioning

confidence: 99%

“…An arbitrary waveform generator (AWG) consists of a DSP (or waveform memory) and a digital-to-analog converter (DAC) [2][3][4][5][6][7][8][9]. We can use the AWG to generate arbitrary analog waveforms simply by changing the DSP program [2][3][4][5][6][7][8][9], and Automatic Test Equipment (ATE) often uses AWGs [9]. However, due to AWG nonlinearities, sinusoidal signals generated by AWGs include harmonics that degrade the accuracy of analog/mixed-signal circuit testing when the generated signals are used for the testing input.…”

Section: Introductionmentioning

confidence: 99%

High-Frequency Low-Distortion One-Tone and Two-Tone Signal Generation Using Arbitrary Waveform Generator

Shibuya

Yanagida

Asami

et al. 2019

AMM

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This paper describes analysis, simulation and experiment verification of high-frequency one-tone and two-tone low-distortion signal generation methods with an arbitrary waveform generator (AWG) for analog/mixed-signal IC testing. Our previously proposed phase switching method was limited to low-frequency signal generation, and it cannot be used directly for high-frequency signal generation. We propose here a method for generating a low-distortion high-frequency signal (i.e., the frequency close to the Nyquist frequency of the AWG) with an AWG, and show its theoretical analysis and simulation results. With this proposed method, 3rd order harmonics of the generated signal are suppressed simply by changing the AWG program (or waveform memory contents)—AWG nonlinearity identification is not required—and spurious components, generated far from the signal band, are relatively easy to remove using an analog filter.

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“…More specialized methods that focus on generating low-distortion sinusoidal signals also exist. These methods include distortion shaping 35,36 and harmonic cancellation [37][38][39] .…”

Section: Introductionmentioning

confidence: 99%

Existing methods for improving the accuracy of digital-to-analog converters

Eielsen

Fleming

2017

Review of Scientific Instruments

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The performance of digital-to-analog converters is principally limited by errors in the output voltage levels. Such errors are known as element mismatch and are quantified by the integral non-linearity. Element mismatch limits the achievable accuracy and resolution in high-precision applications as it causes gain and offset errors, as well as harmonic distortion. In this article, five existing methods for mitigating the effects of element mismatch are compared: physical level calibration, dynamic element matching, noise-shaping with digital calibration, large periodic high-frequency dithering, and large stochastic high-pass dithering. These methods are suitable for improving accuracy when using digital-to-analog converters that use multiple discrete output levels to reconstruct time-varying signals. The methods improve linearity and therefore reduce harmonic distortion and can be retrofitted to existing systems with minor hardware variations. The performance of each method is compared theoretically and confirmed by simulations and experiments. Experimental results demonstrate that three of the five methods provide significant improvements in the resolution and accuracy when applied to a general-purpose digital-to-analog converter. As such, these methods can directly improve performance in a wide range of applications including nanopositioning, metrology, and optics.

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Low-Distortion Sinewave Generation Method Using Arbitrary Waveform Generator

Cited by 22 publications

References 8 publications

Digital Compensation for Timing Mismatches in Interleaved ADCs

Digital Compensation for Timing Mismatches in Interleaved ADCs

High-Frequency Low-Distortion One-Tone and Two-Tone Signal Generation Using Arbitrary Waveform Generator

Existing methods for improving the accuracy of digital-to-analog converters

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