Seismic signal and noise assessment for footstep detection range estimation in different environments

Alex Pakhomov; Tim Goldburt

doi:10.1117/12.545292

1 September 2004 Seismic signal and noise assessment for footstep detection range estimation in different environments

Alex Pakhomov, Tim Goldburt

Proceedings Volume 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI; (2004) https://doi.org/10.1117/12.545292
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

The development of security systems based on seismic footstep detection is critical for homeland security and defense applications. The performance of these systems depends on various factors, including noise and signal levels in the real environment. This paper describes the effect of different real seismic noise sources -- such as highways, railroads, operating machinery, trees and shrubs swaying in the wind -- on seismic security system performance as these sources can be located close to the detection area. It is demonstrated that by moving away from these sources, the noise source spectra constantly change. Additionally, we present accurate results for the behavior of footstep signal reduction versus distance for a moving (walking/running) person and the seismic sensors. The effects of seismic signal summation and the noise associated with a number of sensors in environments such as ledge rock and soft earth surface is also discussed.

Citation Download Citation

Alex Pakhomov and Tim Goldburt "Seismic signal and noise assessment for footstep detection range estimation in different environments", Proc. SPIE 5417, Unattended/Unmanned Ground, Ocean, and Air Sensor Technologies and Applications VI, (1 September 2004); https://doi.org/10.1117/12.545292

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