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Proceedings Paper

Seismic footstep signal characterization
Author(s): Alex Pakhomov; Albert Sicignano; Matthew Sandy; E. Tim Goldburt
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Paper Abstract

Seismic footstep detection based systems for homeland security applications are an important additional layer to perimeter protection and other security systems. This article reports seismic footstep signal characterization for different signal to noise ratios. Various footstep signal spectra are analyzed for different distances between a walking person and a seismic sensor. We also investigated kurtosis of the real footstep signals under various environmental and modeled noises. We also report on the results of seismic signal summation from separate geophones. A seismic signal sum spectrum obtained was broader than that obtained from a single sensor. The peak of the seismic signal sum was broader than that from the footstep signal of the single sensor. The signal and noise spectra have a greater overlap for a seismic signal sum than that from a single sensor. Generally, it is more difficult to filter out the noise from the sum of the seismic signals. We show that the use of the traditional approach of spectrum technology and/or the statistical characteristics of signal to noise of reliable footstep detection systems is not practical.

Paper Details

Date Published: 22 September 2003
PDF: 9 pages
Proc. SPIE 5071, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement II, (22 September 2003); doi: 10.1117/12.487751
Show Author Affiliations
Alex Pakhomov, General Sensing Systems LLC (United States)
Albert Sicignano, General Sensing Systems LLC (United States)
Matthew Sandy, General Sensing Systems LLC (United States)
E. Tim Goldburt, General Sensing Systems LLC (United States)


Published in SPIE Proceedings Vol. 5071:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement II
Edward M. Carapezza, Editor(s)

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