Paper
27 September 2001 Personnel tracking using seismic sensors
Michael S. Richman, Douglas S. Deadrick, Robert J. Nation, Scott Whitney
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Abstract
A method for the detection and localization of personnel using seismic sensors is described. This particular application of seismic signal processing is different from typical applications involving earthquakes or sonic well-logging, and thus requires the development of new techniques. The proposed approach consists of a matched filter-based detection algorithm, time of arrival association of detected footsteps from different sensors, and localization using a hyperbolic location estimator. This method was tested using data collected in southern New Hampshire from four vertical-axis geophones. The speed of sound at the test site was estimated using an impulsive source. Footsteps were reliably detected at ranges up to 30m. Localization errors were found to vary linearly with range, with an average estimation error of 8.4 m observed. With improvements in the sensitivity of the seismic sensors, this approach will yield reasonable position estimates of personnel for use in a tracking algorithm.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michael S. Richman, Douglas S. Deadrick, Robert J. Nation, and Scott Whitney "Personnel tracking using seismic sensors", Proc. SPIE 4393, Unattended Ground Sensor Technologies and Applications III, (27 September 2001); https://doi.org/10.1117/12.441276
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Cited by 23 scholarly publications.
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KEYWORDS
Sensors

Seismic sensors

Detection and tracking algorithms

Error analysis

Signal detection

Signal processing

Expectation maximization algorithms

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