复杂波形的事件分解合成及定位方法

doi:10.3969/j.issn.1000-1158.2021.09.15

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摘要针对复杂信号波形的分析与校准,提出了一种以波形事件为核心的复杂信号波形分解与合成方法。首先将波形事件分类成周期性事件和非周期性事件。对于周期性事件,按照事件幅度由高到低依次分解,化繁为简,降低复杂波形分析的复杂程度和技术难度。周期性事件分解完毕后剩余部分,属于非周期性事件,包括单次事件和随机事件。经过按事件进行复杂波形分解,可以获得各个事件在复杂波形上的准确定位,以及实现各个事件与母体波形的有效分离。在一组以受干扰的正弦波为基础的复杂信号波形上所进行的实验及分析,验证了所述方法的有效性与可行性。

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	梁志国
	刘渊
	何昭
	张亦弛
	吴娅辉

关键词 ：计量学, 复杂波形, 正弦波, 定位, 分离, 评价, 曲线拟合

Abstract：Aiming at the analysis and calibration of complex signal waveforms, a complex signal waveform decomposition and synthesis method based on waveform events is proposed. First, the waveform events are classified into periodic events and non-periodic events. For periodic events, they are decomposed in order from high amplitude to low amplitude, simplifying complexity and reducing the complexity and technical difficulty of complex waveform analysis. After decomposition of the periodic event, the rest is a non-periodic event, including single event and random event. By decomposing complex waveforms by event, the accurate positioning of each event on the complex waveform can be obtained, and the effective separation of each event from the parent waveform can be achieved. By the experiments and analysis on a set of complex signal waveforms based on disturbed sine waves, both the effectiveness and feasibility of the method described in the article are verified.

Key words： metrology complex signal waveform sinusoidal localization separation evaluation curve-fit

收稿日期: 2020-02-05 发布日期: 2021-09-24

PACS:

TB973

基金资助:国家重点研发计划(2017YFF0206202)

作者简介: 梁志国(1962-),男,黑龙江巴彦县人,北京长城计量测试技术研究所研究员,博士,博士生导师,主要研究方向为数字化测量与校准,模式识别,动态校准,精确测量。Email: Lzg304@sina.com

引用本文:

梁志国,刘渊,何昭,张亦弛,吴娅辉. 复杂波形的事件分解合成及定位方法[J]. 计量学报, 2021, 42(9): 1214-1219.
LIANG Zhi-guo,LIU Yuan,HE Zhao,ZHANG Yi-chi,WU Ya-hui. Event Separation and Synthesizing and Localization Method on a Complex Waveform. Acta Metrologica Sinica, 2021, 42(9): 1214-1219.

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