{"title":"First Arrival Picking of Aircraft-Excited Seismic Waves Based on Energy Distribution","authors":"Shuang Li;Tao Jiang;Zhongqin Pang","doi":"10.1109/TIM.2024.3497162","DOIUrl":null,"url":null,"abstract":"When the acoustic-to-seismic coupling effect is used to detect low-altitude aircrafts, picking up the exact first arrival of the seismic waves excited by aircrafts directly affects the accuracy of the detection. There are random noise and frequent impulse noise in seismic data collection due to wind blowing, grass hitting, and so on. The existing seismic wave picking algorithms are sensitive to the impulse noise, which leads to high false picking rate. In order to solve this problem, first arrival picking of aircraft-excited seismic waves based on energy distribution (ED) is proposed in this article. Compared with the commonly used pickup algorithms, ED can avoid the false pickup caused by single impulse noise and effectively reduce the false picking caused by impulse noise clusters consisted of multiple consecutive single impulse noise. ED ensures both high accuracy and high computational efficiency. More importantly, the actual collected data may contain multiple aircraft events, and ED can pick up all the aircraft events at the same time and does not need to intercept each aircraft signal one by one. By picking up the actual data, the effectiveness and practicability of ED are further verified. The advantages and limitations of the ED algorithm are also discussed to provide future research directions.","PeriodicalId":13341,"journal":{"name":"IEEE Transactions on Instrumentation and Measurement","volume":"74 ","pages":"1-12"},"PeriodicalIF":5.6000,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Instrumentation and Measurement","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10752659/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
When the acoustic-to-seismic coupling effect is used to detect low-altitude aircrafts, picking up the exact first arrival of the seismic waves excited by aircrafts directly affects the accuracy of the detection. There are random noise and frequent impulse noise in seismic data collection due to wind blowing, grass hitting, and so on. The existing seismic wave picking algorithms are sensitive to the impulse noise, which leads to high false picking rate. In order to solve this problem, first arrival picking of aircraft-excited seismic waves based on energy distribution (ED) is proposed in this article. Compared with the commonly used pickup algorithms, ED can avoid the false pickup caused by single impulse noise and effectively reduce the false picking caused by impulse noise clusters consisted of multiple consecutive single impulse noise. ED ensures both high accuracy and high computational efficiency. More importantly, the actual collected data may contain multiple aircraft events, and ED can pick up all the aircraft events at the same time and does not need to intercept each aircraft signal one by one. By picking up the actual data, the effectiveness and practicability of ED are further verified. The advantages and limitations of the ED algorithm are also discussed to provide future research directions.
利用声震耦合效应探测低空飞行器时,获取飞行器激发的地震波首次到达的准确时间直接影响探测的准确性。在地震数据采集过程中,由于风吹、草打等原因,存在随机噪声和频繁的脉冲噪声。现有的地震波选取算法对脉冲噪声比较敏感,导致误选率较高。为了解决这一问题,本文提出了基于能量分布(ED)的飞机激发地震波初至拾波算法。与常用的拾波算法相比,ED 能避免单个脉冲噪声造成的误拾波,并能有效减少由多个连续单个脉冲噪声组成的脉冲噪声簇造成的误拾波。ED 既保证了高精度,又保证了高计算效率。更重要的是,实际采集的数据可能包含多个飞机事件,ED 可以同时拾取所有飞机事件,而不需要逐一截获每个飞机信号。通过拾取实际数据,进一步验证了 ED 的有效性和实用性。此外,还讨论了 ED 算法的优势和局限性,为今后的研究提供了方向。
期刊介绍:
Papers are sought that address innovative solutions to the development and use of electrical and electronic instruments and equipment to measure, monitor and/or record physical phenomena for the purpose of advancing measurement science, methods, functionality and applications. The scope of these papers may encompass: (1) theory, methodology, and practice of measurement; (2) design, development and evaluation of instrumentation and measurement systems and components used in generating, acquiring, conditioning and processing signals; (3) analysis, representation, display, and preservation of the information obtained from a set of measurements; and (4) scientific and technical support to establishment and maintenance of technical standards in the field of Instrumentation and Measurement.