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Proceedings Paper

Seismic-array signal processing for moving source localization
Author(s): Jing Z. Stafsudd; Ralph E. Hudson; Ertugrul Taciroglu; Kung Yao
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Paper Abstract

In this paper, we consider the use of a seismic sensor array for the localization and tracking of a wideband moving source. The proposed solution consists of two steps: source Direction-Of-Arrival (DOA) estimation and localization via DOA estimates. Three DOA estimation methods are considered. The Covariance Matrix Analysis and the Surface Wave Analysis are previously published DOA estimation algorithms shown to be effective in the localization of a stationary wideband source. This paper investigates their performance on moving wideband sources. A novel DOA estimation algorithm, the Modified Kirlin's Method was also developed for the localization of a moving source. The DOAs estimated by these algorithms are combined using a least-squares optimization for source localization. The application of these algorithms to real-life data show the effectiveness of both the Surface Wave Analysis and the Modified Kirlin's Method in locating and tracking a wideband moving source.

Paper Details

Date Published: 21 September 2007
PDF: 12 pages
Proc. SPIE 6697, Advanced Signal Processing Algorithms, Architectures, and Implementations XVII, 66970H (21 September 2007); doi: 10.1117/12.732713
Show Author Affiliations
Jing Z. Stafsudd, Univ. of California, Los Angeles (United States)
Ralph E. Hudson, Univ. of California, Los Angeles (United States)
Ertugrul Taciroglu, Univ. of California, Los Angeles (United States)
Kung Yao, Univ. of California, Los Angeles (United States)


Published in SPIE Proceedings Vol. 6697:
Advanced Signal Processing Algorithms, Architectures, and Implementations XVII
Franklin T. Luk, Editor(s)

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