Seismic and acoustic signal identification algorithms

Mark D. Ladd; M. Kathleen Alam; Gerard E. Sleefe; Hung D. Nguyen

doi:10.1117/12.392574

21 July 2000 Seismic and acoustic signal identification algorithms

Mark D. Ladd, M. Kathleen Alam, Gerard E. Sleefe, Hung D. Nguyen

Proceedings Volume 4040, Unattended Ground Sensor Technologies and Applications II; (2000) https://doi.org/10.1117/12.392574
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

This paper will describe an algorithm for detecting and classifying seismic and acoustic signals for unattended ground sensors. The algorithm must be computationally efficient and continuously process a data stream in order to establish whether or not a desired signal has changed state (turned-on or off). The paper will focus on describing a Fourier-based technique that compares the running power spectral density estimate of the data to a predetermined signature in order to determine if the desired signal has changed state. How to establish the signature and the detection thresholds will be discussed as well as the theoretical statistics of the algorithm for the Gaussian noise case with results from simulated data. Actual seismic data results will also be discussed along with techniques used to reduce false alarms due to the inherent nonstationary noise environments found with actual data.

Citation Download Citation

Mark D. Ladd, M. Kathleen Alam, Gerard E. Sleefe, and Hung D. Nguyen "Seismic and acoustic signal identification algorithms", Proc. SPIE 4040, Unattended Ground Sensor Technologies and Applications II, (21 July 2000); https://doi.org/10.1117/12.392574

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