An Algorithm for Selecting Sampling Rate in Arbitrary Waveform Generator

Xiao, Yegui; Guo, Guo; Yu, Chiang; Zhao, Wenhao; Liu, Ke; Huang, Lei

doi:10.1109/autest.2018.8532524

Cited by 2 publications

(2 citation statements)

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“…However, due to the computational complexity of the ASRC, plentiful work emphasizes how to optimize its implementation ( [17], [22], [23]). To select a sampling rate with lower computational cost and better frequency stability, an algorithm is proposed in this paper based on the variable nature of the AWG's sampling rate supported by a variable clock generator, as [24] does. Under anti-aliasing conditions, Fig.…”

Section: Introductionmentioning

confidence: 99%

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A Sampling Rate Selecting Algorithm for the Arbitrary Waveform Generator

et al. 2019

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The arbitrary waveform generator is now commonly used to generate waveforms in many fields. The Nyquist sampling theorem only provides an open interval for the sampling rate selection, but how to determine a specific sampling rate within this open interval has not been discussed. In practice, the sample rate conversion is adopted to convert the arbitrarily selected sample rate to a safe one which keeps the mirror frequency out of a fixed passband of an anti-aliasing filter in an arbitrary waveform generator whose sample rate is variable. To select a safe sample rate with low computational cost and memory requirements for conversion, an algorithm, with fractional sample rate conversion in mind, is proposed in this paper to guarantee the safety of the target sample rate and the bound of resource cost. The experimental results show that not only the computational cost and memory requirements of sampling rate conversion but also the frequency stability and harmonics of the generated signal in the proposed algorithm overcome the method that arbitrary converts the sampling rate to a fixed maximum one.INDEX TERMS Arbitrary waveform generator, sampling rate conversion, memory depth.

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Section: Introductionmentioning

confidence: 99%

“…To select a sampling rate with lower computation cost and better frequency stability, an algorithm is proposed in this paper base on the variable nature of AWG's sampling rate supported by variable clock generator as [24] do. Under anti-aliasing conditions, Fig.…”

Section: Introductionmentioning

confidence: 99%