Refining visually estimated arrival times of short duration signals

Autor:	Peter Kosteniuk, Arnfinn F. Prugger, Brian L. F. Daku
Rok vydání:	2001
Předmět:	Estimation Signal processing Hypocenter Computer science Applied Mathematics Real-time computing Condensed Matter Physics Multilateration Arrival time Task (project management) Time of arrival Statistics Electrical and Electronic Engineering Instrumentation Short duration
Zdroj:	Measurement. 30:297-305
ISSN:	0263-2241
DOI:	10.1016/s0263-2241(01)00022-7
Popis:	Estimating the location of a radiating source from recorded sensor signals requires accurate arrival time estimates. If the sensor signals have a short time duration, generating accurate arrival time estimates is a challenging task. This paper proposes a new cross-correlation averaging algorithm which is integrated with a visual ‘peak picking’ alignment approach to improve the estimation of the arrival times. An important application that results in short time duration signals is seismic activity in mines. This seismic activity is produced by high stress faults in the vicinity of the mining operations. Locating the source of these seismic events is important for mine safety. This paper focuses on this mining application to demonstrate how the cross-correlation averaging algorithm can improve the arrival time delay estimation and thus provide better hypocenter location estimates of seismic events in mines.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e0fd2743da52d2bdbb987da2e5704f06 https://doi.org/10.1016/s0263-2241(01)00022-7 Zobrazit plný text záznamu Full Text from ScienceDirect