Seismic footstep signal characterization

Alex Pakhomov; Albert Sicignano; Matthew Sandy; E. Tim Goldburt

doi:10.1117/12.487751

22 September 2003 Seismic footstep signal characterization

Alex Pakhomov, Albert Sicignano, Matthew Sandy, E. Tim Goldburt

Proceedings Volume 5071, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement II; (2003) https://doi.org/10.1117/12.487751
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

Alex Pakhomov, Albert Sicignano, Matthew Sandy, and E. Tim Goldburt "Seismic footstep signal characterization", Proc. SPIE 5071, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement II, (22 September 2003); https://doi.org/10.1117/12.487751

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