An arbitrary waveform synthesis structure with high sampling rate and low spurious

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Metrology and Measurement Systems Pub Date : 2023-07-20 DOI:10.24425/mms.2022.140027
Wenhao Zhao, Shulin Tian, Guangkun Guo, Jiajing You, Qiong Wu, Ke Liu
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引用次数: 1

Abstract

The arbitrary waveform generator is characterised by its flexible signal generation, high frequency resolution and rapid frequency switching speed and is wildly used in fields like communication, radar systems, quantum control, astronautics and biomedicine. With continuous development of technology, higher requirements are placed on to the arbitrary waveform generator. Sampling rate determines the bandwidth of the output signal, spurious-free dynamic range determines the quality of generated signal. Due to above, these two indicators’ improvement is vital. However, the existing waveform generation methods cannot generate signals with quality good enough due to their technical limitations, and in order to realize a high system sampling rate, to accomplish waveform generation process in FPGA, multipath parallel structure is needed. Therefore, we proposed a parallel waveform synthesis structure based on digital resampling, which fixed the problems existing in the current methods effectively and achieved a high sampling rate as well as high quality arbitrary waveform synthesis. We also built up an experimental test bench to validate the proposed structure.
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一种具有高采样率和低杂散的任意波形合成结构
任意波形发生器具有信号生成灵活、频率分辨率高和频率切换速度快的特点,广泛应用于通信、雷达系统、量子控制、航天和生物医学等领域。随着技术的不断发展,对任意波形发生器提出了更高的要求。采样率决定了输出信号的带宽,无杂散动态范围决定了生成信号的质量。正因如此,这两个指标的改善至关重要。然而,现有的波形生成方法由于其技术限制,无法生成质量足够好的信号,并且为了实现高的系统采样率,要在FPGA中完成波形生成过程,需要多路径并行结构。因此,我们提出了一种基于数字重采样的并行波形合成结构,有效地解决了现有方法中存在的问题,实现了高采样率和高质量的任意波形合成。我们还建立了一个实验测试台来验证所提出的结构。
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来源期刊
Metrology and Measurement Systems
Metrology and Measurement Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
10.00%
发文量
0
审稿时长
6 months
期刊介绍: Contributions are invited on all aspects of the research, development and applications of the measurement science and technology. The list of topics covered includes: theory and general principles of measurement; measurement of physical, chemical and biological quantities; medical measurements; sensors and transducers; measurement data acquisition; measurement signal transmission; processing and data analysis; measurement systems and embedded systems; design, manufacture and evaluation of instruments. The average publication cycle is 6 months.
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