Possible effects of selecting different station distributions in the optimal sequence estimation method

Since the inception of the optimal sequence estimation (OSE) method, various research teams have substantiated its efficacy as the optimal stacking technique for handling array data, leading to its successful application in numerous geoscience studies. Nevertheless, concerns persist regarding the po...

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Bibliographic Details
Published inGeodesy and Geodynamics Vol. 15; no. 6; pp. 554 - 567
Main Author Ding, Hao
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.11.2024
KeAi Communications Co., Ltd
Subjects
GPS
Optimal sequence estimation
Station selection
Station selection
Optimal sequence estimation
GPS
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Summary:Since the inception of the optimal sequence estimation (OSE) method, various research teams have substantiated its efficacy as the optimal stacking technique for handling array data, leading to its successful application in numerous geoscience studies. Nevertheless, concerns persist regarding the potential impact of aliasing resulting from the choice of distinct station distributions on the outcomes derived from OSE. In this investigation, I employ theoretical deduction and experimental analysis to elucidate the reasons behind the immunity of the Yl'm'-related common signal obtained through OSE to variations in station distribution selection. The primary objective of OSE is also underscored, i.e., to restore/strip a Yl'm'-related common periodic signal from various stations. Furthermore, I provide additional clarification that the ‘Yl'm'-related common signal’ and the ‘Yl'm'-related equivalent excitation sequence’ are distinct concepts. These analyses will facilitate the utilization of the OSE technique by other researchers in investigating intriguing geophysical phenomena and attaining sound explanations.
ISSN:1674-9847
DOI:10.1016/j.geog.2024.04.007